{"cells": [{"cell_type": "markdown", "metadata": {}, "source": ["# Benchmark - 2020 March 05"]}, {"cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": ["import datetime\n", "\n", "import numpy as np\n", "from matplotlib import pyplot as plt\n", "import torch\n", "import torch.nn as nn\n", "import torch.optim as optim\n", "from torch.utils.data import DataLoader, random_split\n", "from tqdm import tqdm\n", "import seaborn as sns\n", "\n", "from tst.loss import OZELoss\n", "\n", "from src.benchmark import LSTM\n", "from src.dataset import OzeDataset\n", "from src.utils import visual_sample, compute_loss"]}, {"cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [{"name": "stdout", "output_type": "stream", "text": ["Using device cuda:0\n"]}], "source": ["# Training parameters\n", "DATASET_PATH = 'datasets/dataset_v6_full.npz'\n", "BATCH_SIZE = 8\n", "NUM_WORKERS = 4\n", "LR = 3e-5\n", "EPOCHS = 30\n", "\n", "# Model parameters\n", "d_model = 128 # Lattent dim\n", "N = 8*2 # Number of layers\n", "dropout = 0.2 # Dropout rate\n", "\n", "d_input = 38 # From dataset\n", "d_output = 8 # From dataset\n", "\n", "# Config\n", "sns.set()\n", "device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")\n", "print(f\"Using device {device}\")"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Training"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Load dataset"]}, {"cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": ["ozeDataset = OzeDataset(DATASET_PATH)\n", "\n", "dataset_train, dataset_val, dataset_test = random_split(ozeDataset, (38000, 500, 500))"]}, {"cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": ["dataloader_train = DataLoader(dataset_train,\n", "                              batch_size=BATCH_SIZE,\n", "                              shuffle=True,\n", "                              num_workers=NUM_WORKERS,\n", "                              pin_memory=False\n", "                             )\n", "\n", "dataloader_val = DataLoader(dataset_val,\n", "                            batch_size=BATCH_SIZE,\n", "                            shuffle=True,\n", "                            num_workers=NUM_WORKERS\n", "                           )\n", "\n", "dataloader_test = DataLoader(dataset_test,\n", "                             batch_size=BATCH_SIZE,\n", "                             shuffle=False,\n", "                             num_workers=NUM_WORKERS\n", "                            )"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Load network"]}, {"cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": ["# Load transformer with Adam optimizer and MSE loss function\n", "net = LSTM(d_input, d_model, d_output, N, dropout=dropout).to(device)\n", "optimizer = optim.Adam(net.parameters(), lr=LR)\n", "loss_function = OZELoss(alpha=0.3)"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Train"]}, {"cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [{"name": "stderr", "output_type": "stream", "text": ["[Epoch   1/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:57<00:00, 90.94it/s, loss=0.0318, val_loss=0.0238]\n", "[Epoch   2/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.30it/s, loss=0.0234, val_loss=0.0234]\n", "[Epoch   3/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:01<00:00, 90.12it/s, loss=0.0189, val_loss=0.0142]\n", "[Epoch   4/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.69it/s, loss=0.0128, val_loss=0.0122]\n", "[Epoch   5/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:59<00:00, 90.58it/s, loss=0.012, val_loss=0.0119]\n", "[Epoch   6/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.38it/s, loss=0.0118, val_loss=0.0117]\n", "[Epoch   7/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.27it/s, loss=0.0116, val_loss=0.0117]\n", "[Epoch   8/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.89it/s, loss=0.0115, val_loss=0.0115]\n", "[Epoch   9/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.74it/s, loss=0.0114, val_loss=0.0115]\n", "[Epoch  10/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.32it/s, loss=0.0114, val_loss=0.0114]\n", "[Epoch  11/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.45it/s, loss=0.0112, val_loss=0.0112]\n", "[Epoch  12/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:57<00:00, 90.93it/s, loss=0.0111, val_loss=0.011]\n", "[Epoch  13/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.79it/s, loss=0.0109, val_loss=0.0109]\n", "[Epoch  14/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.44it/s, loss=0.0108, val_loss=0.0108]\n", "[Epoch  15/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.44it/s, loss=0.0107, val_loss=0.0107]\n", "[Epoch  16/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:57<00:00, 90.93it/s, loss=0.0107, val_loss=0.0107]\n", "[Epoch  17/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.80it/s, loss=0.0106, val_loss=0.0106]\n", "[Epoch  18/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.40it/s, loss=0.0106, val_loss=0.0107]\n", "[Epoch  19/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.29it/s, loss=0.0105, val_loss=0.0105]\n", "[Epoch  20/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.82it/s, loss=0.0104, val_loss=0.0105]\n", "[Epoch  21/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.82it/s, loss=0.0104, val_loss=0.0105]\n", "[Epoch  22/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.45it/s, loss=0.0103, val_loss=0.0104]\n", "[Epoch  23/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.32it/s, loss=0.0103, val_loss=0.0103]\n", "[Epoch  24/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.86it/s, loss=0.0103, val_loss=0.0104]\n", "[Epoch  25/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.72it/s, loss=0.0102, val_loss=0.0103]\n", "[Epoch  26/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.46it/s, loss=0.0102, val_loss=0.0103]\n", "[Epoch  27/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.41it/s, loss=0.0101, val_loss=0.0103]\n", "[Epoch  28/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.82it/s, loss=0.0101, val_loss=0.0102]\n", "[Epoch  29/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [06:58<00:00, 90.90it/s, loss=0.0101, val_loss=0.0101]\n", "[Epoch  30/30]: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 38000/38000 [07:00<00:00, 90.42it/s, loss=0.01, val_loss=0.0101]"]}, {"name": "stdout", "output_type": "stream", "text": ["model exported to models/model_LSTM_2020_03_04__211137.pth with loss 0.010125\n"]}, {"name": "stderr", "output_type": "stream", "text": ["\n"]}, {"data": {"image/png": 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\n", "text/plain": ["<Figure size 432x288 with 1 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["model_save_path = f'models/model_LSTM_{datetime.datetime.now().strftime(\"%Y_%m_%d__%H%M%S\")}.pth'\n", "val_loss_best = np.inf\n", "\n", "# Prepare loss history\n", "hist_loss = np.zeros(EPOCHS)\n", "hist_loss_val = np.zeros(EPOCHS)\n", "for idx_epoch in range(EPOCHS):\n", "    running_loss = 0\n", "    with tqdm(total=len(dataloader_train.dataset), desc=f\"[Epoch {idx_epoch+1:3d}/{EPOCHS}]\") as pbar:\n", "        for idx_batch, (x, y) in enumerate(dataloader_train):\n", "            optimizer.zero_grad()\n", "\n", "            # Propagate input\n", "            netout = net(x.to(device))\n", "\n", "            # Comupte loss\n", "            loss = loss_function(y.to(device), netout)\n", "\n", "            # Backpropage loss\n", "            loss.backward()\n", "\n", "            # Update weights\n", "            optimizer.step()\n", "\n", "            running_loss += loss.item()\n", "            pbar.set_postfix({'loss': running_loss/(idx_batch+1)})\n", "            pbar.update(x.shape[0])\n", "        \n", "        train_loss = running_loss/len(dataloader_train)\n", "        val_loss = compute_loss(net, dataloader_val, loss_function, device).item()\n", "        pbar.set_postfix({'loss': train_loss, 'val_loss': val_loss})\n", "        \n", "        hist_loss[idx_epoch] = train_loss\n", "        hist_loss_val[idx_epoch] = val_loss\n", "        \n", "        if val_loss < val_loss_best:\n", "            val_loss_best = val_loss\n", "            torch.save(net.state_dict(), model_save_path)\n", "        \n", "plt.plot(hist_loss, 'o-', label='train')\n", "plt.plot(hist_loss_val, 'o-', label='val')\n", "plt.legend()\n", "print(f\"model exported to {model_save_path} with loss {val_loss_best:5f}\")"]}, {"cell_type": "markdown", "metadata": {}, "source": ["## Validation"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["_ = net.eval()"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Plot results on a sample"]}, {"cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [{"data": {"image/png": 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nkK9jsbgkaefOd5TP8ztQK8FgSNOmNZbPfyWM6+742muvacWKFeru7lZDQ4NWr16tefPmDdrny1/+sl588cXy4xdffFE33XSTTjrpJN1444368Y9/rJkzZ0qSjjnmGK1atapiHwIYD9YycraBs2HoBHOmUicNsa8rq3TtJwmxAQAAPCaTKyiXL1B+tAnrLvtH6Xumw7my+utqdCajiCUi3G+i0XhisXhFO2Ngj3H1CKxatUpnn322li1bpnvvvVcrV67U7bffPmifNWvWlP9+4YUX9PGPf1yLFi0qbzv99NN12WWXVSjZwMSZ6Zxm7BW1OxkYwcCYvE3T+Z6ciIpVdYSCAdVFCFUDAAC8x0wxO8VOiWiIMqZPJBmwWBXlxnLyEfqYqSz5zOUS5GtfGnPuZldXlzZu3KglS5ZIkpYsWaKNGzdq+/btI77m5z//uZYuXapIJFK5lAJTlEwxWsPJEjFCwjkdC8BWDw0UAADAiyg/2iseC5e/A3gbHc7VQeh6DJVMZ8trSsGdSr+T3B/9ZcxOsI6ODrW2tioYLIYnCwaDmjlzpjo6OobdP5PJaO3atTrjjDMGbb///vu1dOlSfepTn9KGDRsqkHRgYkxuVI5WjslLuA7HKlesyEcVV1yvgWsfAAB4C5EE7EUZ0z/MdFaRcEDhEEsLVFK0LiTDIHQ9+pmpHAM7XK4cjYd87SsVb8l86KGHNGvWLLW3t5e3ffSjH9UFF1ygcDisP/7xj7rwwgu1fv16NTY2jvu4zc2JSifV01paptmdBEfJZPPKZAua2Zzg3DhUIFL8OTJCQc99R175PEZoqyRp3zmNmlbPTN9KapgeVW+u4Jlrxck4x4BzkB8BZ6hmXvx7x25J0txZe5HnbdDSHFdPOqvm5oQCAcPu5GAcJptP8pah6fUR8lkVJGIRFUS5xY+G+85TmZxmNNZzPbjc9HhEOYt87SZT/a7G7ARra2tTZ2en8vm8gsGg8vm8tm7dqra2tmH3v/vuu/eYBdbS0lL++/jjj1dbW5teeuklHXvsseNOaFdXUoWCNe79/aylZZq2bdttdzIcpTvZW/yjUODcOFQmm5ckbdm221PfkZfyY+e2pAxJPcm00mav3cnxlEjQ0LYdac9cK07lpfwIuB35EXCGaufFjs5dkqRMKkOet0GgUFDBkt7atEP1zFxwvKnkx67uHkUjIfJZFdTXBfXOjh7Orc8Mlx8ty9JuM6uALK4Hl4uFg9reneJ7dIlSfgwEjElPlBozHGJzc7Pa29u1bt06SdK6devU3t6upqamPfbdsmWLnnjiCS1dunTQ9s7OzvLfzz//vDZt2qT99ttvUgkGJoP42M4XCQcVDgWYjuxgZjqr+mhIAYNRpJUWjxGqBgAAeA/hEO1VOu+EcvO+ZCpbXmcblUVdDSXpTF4FyyIcogfEY2El06wJ5ifjukNeccUVWrFihW6++WZNnz5dq1evliQtX75cF198sQ4//HBJ0i9+8Qv90z/9k/baa69Br7/uuuv03HPPKRAIKBwOa82aNYNmhwHVVlrsMEHly9ESLNzsaMlUlgaMKknEwjJTWVmWJYNORgAA4BHJVFahYECR0Jjjb1EF5XWXU1mpIWZzalBNZjqntuZ6u5PhSYlYWDvNjN3JgAPQtugd8VhYm7Yl7U4GamhcnWAHHHCA7rrrrj2233rrrYMef+5znxv29aVOM8Au5RGIjNZwtHg0VJ61B+cx0ywAWy3xaFj5gqV0Jq9YHSM4AQCAN5iprOKxEIN8bBLvmxlEHcv7zFSWulqVxKMhbX7HtDsZcACzb+ZQnFmXrpeg/dF3GI4FXyiHQ+RG5WjxKGEGnKzUiIHKK4VqNZmODwAAPMRM55SgYd42pU4RQj55m2VZMtPU1aqFdgqUmCkG2HtFKcypZVl2JwU1QicYfIGZYO5QvAlRQXMqM51l2n+VlMJMlgrVAAAAXmASTttWCcqYvpDJFpTLW3Q4V0k8FlaqN6d8oWB3UmCz/plg5DW3GxiNB/5AJxh8wUxnFQwYikaCdicFoyAcorOZKcIhVgszwQAAgBeZ6Wy5nIPaq6eM6QvJFA3z1VT6DethNpjvldqrEtzXXI82GP+hEwy+UBqBSCx6Z0vECDPgVIWCpZ7eHI0YVVIepcv1DwAAPMRM52iYt1EoGFA0EmQmmMeVZ6cwYLEqqKuhJFmKMsV9zfWYKe0/dILBF5IpRiC6QTwWVjZXUG+W6chOw7T/6iqd1yQzIQEAgIckU1lCtNksHg1TxvS48uwU1gSrCupqKDFTWdVFggoFaU53u3K+ZiaYb5Br4QuMQHSH8nRkCpeOUxr1RiNGdXDtAwAAr8lk88rmCorTMG+reCxEuCePYw306iqdV+pqMFNZQiF6BG0w/kMnGHzBZASiK5QLl4QZcByTOPNVFQ4FFQkHaKAAAACeYRI2yhGKIecpY3pZkqgdVVXqyCcfwUyzTrpXxAlz6jt0gsEXWJDZHco3IUZiOE5/OETyUbXEo2HiUQMAAM8oh2ijwdBWlDG9rzxgkTaPquifCUY+8rtkOktns0cww9N/6ASDLyQJh+gK/QvOchNymlKBn0aM6mGULgAA8JLyICoa5m0Vp4zpeWYqp0gooEg4aHdSPKk+GpIh2ilQ7DChbdEbwqGA6sJB8rWP0AkGz8vlC+rN5LlRuUCpgsyCs86TJBxi1cWjIa59AADgGZQfnSEeDclM5WRZlt1JQZUwO6W6AoaheupqEGuCeU08Rr72EzrB4Hn9YTi4UTkdMXmdy0xnZUiqryMfVUtxlC7XPgAA8IbymmBEErBVPBpWwbKU6s3bnRRUiZli+Ydqo64Gy7KKa4LR4ewZhAv2FzrB4HlJFmR2jUgooFAwQExeBzJTOdVHQwoEDLuT4lnFAhjXPgAA8IbyYETqYbYi5Lz3mekcnc1VRl0N6Uxe+YJFXvOQeDTEvdFH6ASD5/UvEsuNyukMw1A8xk3Iicx0ljxUZaVrn1A1AADAC5LprEJBQ5EwzQ52iseKM4SoY3kX6xRVH+0UYJ1L72GGp79QGoXnlW5UjEB0h0SM6chOVIwzT2GvmhKxsHJ5S5lswe6kAAAATJmZKs5OMQwiCdipNJCNOpZ3JdNZJairVRXtFCh9/7QtekcxX9O57Rd0gsHzygsyM1rDFeLRMAtTOlAxzjyFvWoqnV+ufwAA4AXMTnGG0ndAGdObLMsqdzijeminQLI0E4z7mmeU8jXRePyBTjB4Xmm0BjcqdyAmrzOZKRaArbbyKF2ufwAA4AHFcNoMRLRbIko4RC/L5ArK5QvU1aosHg2ppzenQoHGcr8yGWDvOfFYSPmCpd5s3u6koAboBIPnmemsAoahaCRod1IwDsTkdSYznVWC0YVVVQphwnR8AADgBclUjrBRDlDqHKGM6U00zNdGKR/19NJW4Veldio6nL2DcMH+QicYPM9M5xSPhYhF7xKJKDF5naZQsNTTl49QPf0zwSiAAQAA9yvOBKOx0G6hYEB1kSBlTI/qX/6BvFZNiSidyX5nktc8h2g8/kInGDzPTGUZgegi8VhImVxBGaYjO0ZPb06WKOxVW3m9BgpgAADAA8x0lkFUDpGIhmi896hS5yZtHtVFXQ1mOqu6cFDhEE3pXkE0Hn8h58LzkilGILpJOVwHIxUdozziiUaMqiqFMKEABgAA3C6byyuTLVAPc4h4NFyeMQRv6a+rkdeqKU5jue8lUwzs8Jr+zm3aH/2ATjB4HgsyuwthBpynNNqNRozqioSDioQCxKMGAACul0yxdoqTsO6yd5lp1gSrhQRrB/memcrRJuIxcdoffYVOMHiemcpR+XKR8mwYwgw4RqmgT4iN6ovHwoTYAAAArlcqy1N+dIZiJxhlTC8qdW7S5lFdhEMEA+y9h/ZHf6ETDJ7HgszuUi5cMsLKMcqjC6lYVV2c9RoAAIAHlEO00WDoCKwJ5l3JVFahYEAR1imqqvq6kAwxY8TPzDQD7L2GaDz+Mq675GuvvaazzjpLixcv1llnnaXXX399j31uvPFGLVy4UMuWLdOyZct05ZVXlp9LpVK65JJLdMopp+i0007T73//+4p9AGA0uXxB6Uy+vNghnC9RXhOMwqVT0IhROwlC1QAAAA8oz05hMKIjlMIhWpZld1JQYWYqq0QsJMMw7E6KpwUChuqjIepqPlbMa9zTvIZoPP4xrhbNVatW6eyzz9ayZct07733auXKlbr99tv32O/000/XZZddtsf27373u0okEvrNb36j119/Xeecc44efPBBxePxqX8CYBSEBnAfYvI6T2kR7Xo6waouHg1ry/Yeu5MBAAAwJaXyY5zBiI4Qj4aVL1hKZ/KK1fGdeAmzU2onHg3TTuFTlmUpmSLKlBeRr/1jzJlgXV1d2rhxo5YsWSJJWrJkiTZu3Kjt27eP+01+9atf6ayzzpIkzZs3T4cddpgefvjhSSYZGL/+GSzcqNwiEg4oFDQYieEgZjqnWF1IwQAhNqotHgtx7QMAANcrh9OmHuYI5XVPaOjzHJOG+ZqhruZfvdm88gWLgR0elIgRLtgvxmzR7OjoUGtrq4LBoCQpGAxq5syZ6ujo2GPf+++/X0uXLtWnPvUpbdiwobx98+bNmj17dvlxW1ubtmzZUon0A6PqX8uIG5VbGIbRNxKDMANOYaazhBStkdK1T6gaAADgZmYqp2DAUDQStDsp0MCQ89SxvKa4Bjp1tVqgncK/St87Hc7eE4+yJIVfVOxO+dGPflQXXHCBwuGw/vjHP+rCCy/U+vXr1djYWJHjNzcnKnIcv2hpmWZ3Ehzhta2mJGlO216cExeZnqhTzrI88525/XNk85b2mhZ1/edwg5kzEsrlC5reUK9ohMpsNXAdA85BfgScoRp5MS9pWjyimTOnV/zYmLjZuzOSpFBdiN9eh5vo99PTm9eMxnq+1xpoaoip661uzrWPlL7r3ZmCJGlW6zS+f49pbqzXa1t28b26wFS/ozFb2Nra2tTZ2al8Pq9gMKh8Pq+tW7eqra1tSEJayn8ff/zxamtr00svvaRjjz1Ws2bN0qZNm9TU1CSpOLvsuOOOm1BCu7qSKhQYGT8eLS3TtG3bbruT4QibO3dJkrLpLOfERWLhgLZ3pzzxnXkhP+7YlVasLuT6z+EGRqFYuH7jrR1qmh61OTXe44X8CHgF+RFwhmrlxa4dPYpFguRzh8imi51gm7bs0uzGmM2pwUgmkx9392QUNEReq4GwYWhXspdz7RMD8+Pbm7slSflMju/fY4KGpV1mVlu37pJhGHYnByMo5cdAwJj0RKkxwyE2Nzervb1d69atkyStW7dO7e3t5Q6tks7OzvLfzz//vDZt2qT99ttPknTaaafppz/9qSTp9ddf19/+9jctWrRoUgkGJiLJmmCuFI+FlSTMgGMUF4BlVlItlM5zkpjUAADAxZKprOIx6mBOUfouWPfEWzLZvLK5AnW1GonHQupJ5xig70PJvnB53Ne8JxENK5cvKJMt2J0UVNm47pRXXHGFVqxYoZtvvlnTp0/X6tWrJUnLly/XxRdfrMMPP1zXXXednnvuOQUCAYXDYa1Zs6Y8O+zTn/60VqxYoVNOOUWBQEBXXXWVEgnCG6L6zHRWAcNQrI5Y9G4Sj4b1eprRNU5h0ohRM6UOe2JSAwAANzPTOTUzq90xSmXMJGVMTzFpmK+peDQsS1JPb668zh78wWSAvWeVB4mks6pjHVNPG1cn2AEHHKC77rprj+233npr+e9Sx9hw6uvrdcMNN0wiecDUmKmc6qMhprS6TDwWkplmlKITFCxLPemcEhT2aoI04uV/AAAgAElEQVRRugAAwAvMdFb7tDLw1SnCoYDqwkHKmB5T+j6pq9VGPFZsQjXTWTrBfKbUPsWsS+8ZGI2HJSm8bcxwiICbmWlmsLhRPBpWJltQNpe3Oym+l+rNyRKjC2ulVACjExgAALiZmcoxYt5hGGjoPf3LP9AwXwvlqB0s3eA7ZiqnSCigSJiZQl5DNB7/oBMMnmamskpQIHSd/unI3ITsZlKxqimufQAA4HbZXEG92TyDqBwmHg3TeO8x5dkp5LWaGBg2Df6SZIC9ZxGNxz/oBIOnJVM5blQuVAotkOQmZLtkijjztVQXDiocCnDtAwAA1yo1EDMY0Vni0ZCSNN57SmngHKH5aoN2Cv8yU1lmN3tUOV9zf/Q8OsHgaWaaG5UblUPCUbi0XX8jBvmoVuLRENc+AABwrXIkARrmHSUeC1PG9Jj+qB3ktVqgncK/zFRWiRgDO7yIfO0fdILB04prgnGjchti8jpHfyMG+ahW4rEw1z4AAHCtUjmGTjBnSVDG9JxkOqtQ0FAkTNNeLdSX128mH/mNmWadS6+K9EXjIV97H3dKeFYuX1CqN88MFhcqdbgwEsN+NGLUXnG9Bq59AADgTqVyDPUwZymVMS3LsjspqJBSiDbDMOxOii8EAwHF6oja4UdJBth7GtF4/IFOMHhWTy+N927FTDDn6A+xQYGvVuLREIstAwAA1yqtq0H50VnisZDyBUu92bzdSUGFmKyBXnPU1fzHsqxiXmNgh2cRjccf6ASDZxHGzb2ikaCCAYPCpQMk01nF6oIKBrhd1AqhagAAgJuZKQYjOlF5oGGKcqZXmOmsEnQ21xR1Nf/J5ArK5QtKcE/zrATReHyBVk14VqlwTxgO9zEMQ/FYWEluQrYrhdhA7XDtAwAANzPTWQUDhqKRoN1JwQClMj3lTO9IMhOs5qir+U//AHvymlfFY+HyLHZ4F51g8KxyGA5uVK5ETF5nMNNUrGotHg0pmysoQ6gaAADgQsVBVCHWKXKYRGndZRr6PMNMM2Cx1min8J8kS0R4HvnaH+gEg2exlpG7EZPXGcwUITZqrdTpyPUPAADcKMkgKkeijOk9ZirL8g81RjuF/5S+bzqcvYt87Q90gsGzyjcqKmCuRExeZ6ARo/YS5fUauP4BAID7EE7bmeKUMT0lk80rkyuQ12osHg3LTGdVsCy7k4IaIRyi9xGNxx/oBINnmamsDEOK1TEyyo3isRChOhyARoza6x+ly/UPAADcpxiijTqY05S+E8qY3lAa9JugYb6mErGwLEtK9zJrxC9Kv5nkNe9KMFPaF+gEg2cl++JjB4hF70rxaFjJFDcgOxUsq9iIQYiNmio1ULDgMgAAcKNiiDYaC50mEg4qEgpQxvQIkzXQbUFdzX9YE8z7SgO/ydfeRicYPKu0IDPcKR4LqzebVzZXsDspvpXuzcmy+sPzoTYYhQQAANwsmc4xYt6h4rGwTAYaegJroNuDtfX8x0znFA4FFAkH7U4KqqScr+kE8zQ6weBZJmsZuVqirzDfQ7gO2yRZV88WrNcAAADcKpcvqDeTp2HeoUrrGcH9SlFTCF1fW6zf7D8MsPc+wgX7A51g8CzWMnK3UsdLkhFWtukfXUg+qqVIOKBQ0FCSAhgAAHAZk0FUjpaIhWi894j+cIg0ztdS6XxTV/MPBth7H9F4/IFOMHiWmc4qQYHQtZiObD8qVvYwDINQNQAAwJUYROVsxZlglDG9oFRXI/RobfW3U5CP/MJMZVkiwuNof/QHOsHgWclUjsqXixFmwH5JGjFsk4iGufYBAIDrlMuPDKJypHgsVP6O4G5mKqdgwFAd6xTVVDlsGvnIN5LpLDPBPC4SCigUDHB/9Dg6weBJ+UJBqV6mLLtZqXBJmAH7lEa3Mbqw9uLREPGoAQCA6zA7xdniseKaYJZl2Z0UTFEyVWyYNwzD7qT4SjAQUKwuSDuFj7AmmPcVo/HQBuN1dILBk3pKsei5UbkWYQbsVyoA1JOPai4eC5cXuwYAAHCLUtmdSALOlIiGlctbymQLdicFU2SmaZi3SzxK6Ho/YU0wf0iQrz2PTjB4Egsyu180ElQwYDASw0ZmKqdoJKhQkFtFrRXXa+DaBwAA7lJeU5ZOMEcqDzSknOl6ZooQbXahruYfmWxe2VyBDmcfIBqP99GyCU8qxWcmDId7GYbRdxNiJIZdiqMLyUN2SMSoWAEAAPcx01kFDEOxOtYpcqJyyHnWPXE9M50rr6ON2koQNs03Su1RtC16H9F4vG9cXdmvvfaaVqxYoe7ubjU0NGj16tWaN2/eoH1uuukmrV+/XoFAQOFwWJdeeqkWLVokSVqxYoX+9Kc/qbGxUZJ02mmn6XOf+1xlPwkwQHlBZgqFrla8CVG4tEsxzjwjnuwQj4WUyRaUzeUVDtGIBAAA3CGZyqk+GmKdIocq1Y9N6liuZ6az2qc1YXcyfCkeC+udXb12JwM1QNuif8RjYb2+ZbfdyUAVjat1c9WqVTr77LO1bNky3XvvvVq5cqVuv/32QfscccQR+tSnPqVYLKYXXnhB5557rh599FFFo1FJ0mc+8xmde+65lf8EwDDKYThowHe1YqxtKmh2MdNZRjzZpFTITqZyapxGJxgAAHAHM0X50ckS5XCIjHZ3u2SKqB12oZ3CP0rfM6FHvS9Bvva8McMhdnV1aePGjVqyZIkkacmSJdq4caO2b98+aL9FixYpFotJkubPny/LstTd3V2FJANjY0FmbyAmr73MVI48ZBPWawAAAG5kpokk4GSlMmaSMqarZXN5ZbIFGuZtEu8Lh1iwLLuTgirrX+eS+5rXxWMhZXIFZbJ5u5OCKhmzE6yjo0Otra0KBosj0YPBoGbOnKmOjo4RX/PLX/5S++yzj/bee+/ytttuu01Lly7VhRdeqFdeeaUCSQdGZqazMiTV13GjcrN4LFzu0ETtFRsxqFjZoVTIZiQSAABwEwZRORtlTG8or1NEw7wt4tGwLEtK99JY7nWsCeYf5XDBzJT2rIrfMf/617/qP//zP/W9732vvO3SSy9VS0uLAoGAfvnLX+r888/XQw89VO5YG4/mZmIdT0RLyzS7k2Crggwl6sNqbZ1ud1IwBS1NcW146R3XX89uTL9lWTLTObU01bsy/W43N1OQJAUjYc5/hXE+AecgPwLOUMm8mMrmtX9DjPztYJFQQJYR4DtyqPF8Lz354gykttbpfI82aJtZPOd19RG1NMdtTg2qKlCcO7Lv3EZFI3Q6e9msvvbjuliE31WHmur3YljW6PN3u7q6tHjxYv3lL39RMBhUPp/XcccdpwcffFBNTU2D9t2wYYMuueQS3XzzzTr00ENHPOZxxx2ne+65R7Nnzx53Qru6kioUmGo8luyrf1X2z3eokC82oKq8ILEx4O/SdmPwPgO3DffYLpNIws5kRtlcQTMaovYmpMLsT0GfGi10vbsnq92prNqa6od5S6ecjb7fJcuStcc2KRg0lM8XpEE/tf2vGWS4fCmjb5PR/4lL+/Vt739N6dBW8b/y4a0B6bP69xmapgGPLcvS9l29ikdDio5nRuWI18QEv6fJHGfEpyby3qPcX0Z8arTXTOZ+1f+aQqF4/hP1YUUjAweMDPlMe1wn/fsYw+1T/me4bUOPbw36Z/DnHeU5yxqyZei+A7eNdp6GPDfavuM8TiBg9N8fxzJsfhxu+5A8ukf+dCKnpkuOTprDE+dwe+bRUCigXG6c+bEWXFHNcEMiXZBGFyRxuPvkcH+Ndh8eZqdh75fBgKF8wRpw/xpybyvf9yxZVl950SqoXHYsPe479k4zo0g4qFg0rFHrm2PeQ6VyObd0TzWGbitt37PcXN5mFYaUfQf+q/6/B3wea8Ty8jAGlV2HltOGfzB489B7izHsn4MfjLTP+F6/6R1T0UhIzdOjkiypUJCsgiyr0He+CuVtA7/bkdM83HuPsM9o56virx37XIz8XUzwexhtvz2K19aQv4fUHXP5/qeHqdNJUjZX0M5kr/aKhxUO9QV4GqVu13+da/C+hiEZgb7/+v4OBGQM3DY0reV8okGPNdrjqRq1/WEK5bNJtmtkcgXtMrNqSEQUCg0XYGuSaRozPZOpE4/+5JgpHbYuOfCPEbaPtN9UVbI4vkfbyYB/VcyPO3alZaay2rsp1v+iYfIk3C+by6s7mVFDIqJwqLb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/DRxGl9KaVuWk+F+BJjzEqgXTkrVgWrK6ut0qqmrWocpmHapo1of7arRpd6UkyRYZrHGp0cpLi9HciQ6Fn2enmNfrVUt7jyrqXKqsdaniaJsq6/rWMOvu8UiSDElXzE7VDQtzz/j/Pj+zb/B/X0kDRTCcVcXRNkWFWf1qPZOosCDdf/00rfuwRK+8X6xSZ6umZsdp86fVcnX0yGEL1dcuH6f5UxJPyL3rLsnRJ0eO6pnX92vVHXMVzJRUGALF1X2dy1lJ/vH71GwyaWJmrCZmxurmReN1qOIfBbHdh47KYu7rCJ6dl6Dp4+IVEeofncy+0NPr0SeHj+rDfTUqr3VpxU0zFRsV4uuwMAIOV7YoNyV6xKa2NpkM5WfGKj8zVp4velVe61JhaaP2lzXqowKn3v24SpKUHB+uCekxmpBuU05KNJ1iAAAAfohLChHwSp2tcnu8DBz7uUmZsdq0q1JHKpu52n8UcnX0qL6lU5fN8u81q4KDzP0DGlLf2noVdS4dqmjWoYomHapo1rbCWv3vO4c1Nz9Bl85IUXZS1IAHXDxerw6VN2lrYa12H6xTc1t3/76oMKtS7BG6eFqyUu0RSrGHKyU+fEDTXUWFBSndEaGC4gYtuShzUM8dY0dlnctvusA+y2QydO38LOWmROvJV/fpze1lmjHOroUzU5SfYZPpFHkWHGTW7V/M16PP79bL7xXpa5eP80HkCDQlNS0ymwylJfhnnuSl93WYfP2KcSqqatGO/bXaeaBOe44UymwyNCHDpll5ds0cZ/erYvdw8Xi9OlzRrC17a7Rjf63au3oVFR6klrZubS1w6osXZvg6RAyz1vZuORvatWCqb+aAN5n+sbbfVReky+3xqLTGpf1ljdpf2qjNn1brnV19F1XFRgUrOzlaOclRyk6OUoYjkjXFAAAAfIwiGAJeUVWLJCk7eejnj8fQmZDeNwC6r6SRItgoVOrsu6o+w0frgQ2WyWQo3RGpdEekLp+VKqlvXaJ3P67Sh/tq9MGnNUpPiNClM1J0wUTHKad69Hq9KnW2amuBU9sKa9XY2qUgq0nTcuKVmxKtFHu4Uu0R5z1QOTEzVm9tL1dndy/rxOC0PF6vKo+26ZJp/luQnpgZq9X3XKSuXreiws6eFxMybFo4I0VvbS/X7AkJw7IeDMaWkuoWpcSH+/3AtMkwlJsSrdyUaC2/LFclNa3acaCvIPbcGwf0hzcOyBEbprSECKUmRCgtIUJp9gjFRgWPWLfMcKppaNeWvTX6aF+NjjZ3Kshq0qzxds2bnKiJGbH6tz/u1NZCimBjwZHKvs9z/vL732wyKftYketLF2ao1+1RaU2rjlS1qKiqWUcq+4rXfcf2Fdyzk6OUlRSlBFuobJHBiokIZvYLAACAEcIoGgLekaoWxUeHMF+7nwsLsSgrOVIFJQ36ysXZvg4H56ispq8Ilj7KimCnku6I1K2L83T9pTl9093srtRzbx7QC5sOa96kRF06PVnpjkhV17dpa4FTWwtr5Wxol9lkaHJWrK5fmKPpufFDXqialBmrN7aW6WB5k6bmxA/puRE46po61N3jUYo93NehnFFwkFnBQQMvQHz10hztOXJUz6wv1EO3z5HV4t/FC/gvr9erkppWzcpL8HUo58QwDGUl9Q2if/WSHJXXuvTx4aMqrWlVcXWLth8bcJeksGBLX1HMHqE0R4Ts0SGyRYXIFhnsl1OKerxeNbR0ytnYodqGdtU0dOhwZbOKq1tkGNLEDJuWLcjSzPH2E/62zs136H/fPqTq+jYlxfn37zycnyNVzTKbDJ+u43cmFrNJOSnRykmJltS3vnGzq0tFVS39hbEPPq3p7xaT+qbEjgoPki0yWLbIYMVGhsgWFSxbRLAiw6wKD+37igixKjTYHBCFbQAAAF+hCIaAV1zVfOwDCfzdpMxYrd1SorbOnvNejwkjq9TZqvjokIBapyQ02KKFM1J06fRkFVW16N3dlfrg02q9u7tStshgNbZ2yZCUlx6jq+amaVZewrA+/3Gp0bKYTdpX3EgRDKdVWdcmSUr1w+kQz0dosEW3fXGCfvnCJ3plc4m+emmOr0PCKFXb1KG2zl5lJvnnYPpAGMY/upiP6+jqVUWdSxW1LpXXtam8tlWb91ara5f7hPuGh1iODbqHyBYZdOx7sMJDLLJazAqymBRk7ftutZoUZDEryGpSkMUki9k06IH4jq5eNbZ2qbG1S0ebO+Rs7JCzoV21jX23e92e/mODrCalxIfrhoW5umCi47RrLM2ZkKAX3j6k7YW1uvYLWYOKC6PD4YpmpTsi/L5787OiI4I1Y7xdM8bbJUluj0c1DR1qaOlUY2tX//dGV5dqmzp0oKxJ7V29pzyXyTAUHmpReIhVEaFWhYdYZLGcvYts/uQkTR/He0YAAACKYAhoja1dqm/p0qI5FMFGg0lZsXr1gxIVljRq9oTRdYX2WFda0zrqpkIcKMMw+q/uXX75OG3ZW6P9pY1aPCdNc/JPPzg31IKsZo1Pi1ZBScOIPB5Gp4o6lwxJKfGB1xUxOStOC6Ym6Y2tZZqVZ1dWEmt94tyVVPd1LmclBtb/n9Bgi8alxmhcakz/No/Xq6PNnapv7lRja2d/EaqxtUsNrV0qdbaq5TNrV56NxWwoPOR4d4rlH50qxwblI0Kt8nr1mcfpVMOx253d7pPOlWALk8MWqinZcUqIDVWiLUyO2DDFRAQNqNhmiwzW+LQYbS10asn8TDplAlSv26Pi6hZdPD3Z16GcF7Opr7h7pr/Pnd19xeK2jl65Onrk6uhRW+fx733b2jp61NjaJbfHe8bHa3J1qaS6VVNz4mQykRsAAGBsowiGgHZ8PbCc5MAa6AhUWUlRCgkyq6CkgSLYKNLR1StnY4cumuKbxcpHUkSoVVfOSdOVc9J88viTMmP14rtH1OTqUkzEyBTfMLpU1LXJHhN6TlMNjibLLxunvcUNenp9oVbeNkfWAVwJD3xWcXWLLGaT308ZOhRMhqGEmFAlxISe9pieXo+aXV1q7+pVd69HPT1udfd6+r563Oo59r2716OO7l61dfTI1dH3vbapQ23VLXJ19J7QyWUYUnR4X5dZcly4JmXG9k3zFtk31VtcVIhio0KGZGD+gokOPffmAVXUtSktIbA6YNGnvNal7l6P36wHNpxCgixKihuaIZod+2v1xJq92lNUr+m5dIMBAICxjSIYAlpRdd/88ekOPhSPBhazSRPSbdpHp8uoUubsu6o+UDvB/MnEzFhJR1RQ0qCLJgd+0RHnrrLOFdCD+2EhFt26OE//+dc9eu3DEi1bwBqSODclNa1Kd0TIYqaAKklWi0nxZyiSDYTX61V3r0dtHT2SpOiIIJlNI/P6zsqz648bDmpboZMiWIA6XNksSWOiCDaUpo+LV3REkN7dXUkRDAAAjHl8+kNAK6psUbojUlZLYF4RH4gmZcWqrqlTtU0dvg4FA1Rac6wI5qeLlQeSNEeEIsOs2lfc6OtQ4Id6et1yNnQoJcDWA/u8abnxmjcpUa99WNpfhD8fXq9XHx8+qqfW7lPzOUwNh9HH4/GqtKY14KZC9DXDMBRsNSv2WIfXSBXAJCkyLEgTs2zaWuCU13vm6eEwOh2pbJYtMlixUSG+DmVUsZhNunhqsj49Uq86Plfhc1wdPXrsr3v0zq6KEzp5AQAIVBTBELDcHo9KalqVzVSIo8rETJskqaCYbrDRotTZKltksKLDg3wdSsAzGYbyM2wqKG1gsA8nqa5vl8frVWoAd4Id9/Urxiki1KqnXys8r8GbkpoW/fz53Xrsr3v04T6n1m0pGbog4Xeq69vU1eNWZhIXbQSSC/IdOtrcqaLqFl+HgmFwpLKZLrBBumR6smRIf/+4ytehwM+8ua1MHx8+qj9uOKj/76mP9FFBjTx8tgAABDCKYAhYlXV9Ax2sBza6JMaGKTYqmCkRR5FSp4upEEfQxMxYNbu6VXm0zdehwM9U1LkkKeA7waS+9fluWZynslqX1m0pOeei8NGmDj356j49/OwOVdS16aZF4zV/cqL+/nGVGlu7hilq+FrJsc7lzCTeGwaSGePsspgNbSuo9XUoGGINLZ2qb+miCDZIsVEhmp4br/c+qVJPL90+6OPq6NHGnRWam5+g+66fppAgi558tUAPP7NdnxbVc6EdACAgsSYYAtbxq0HpBBtdDMPQxMxY7TpQJ4/HOySLpmP4dHW7VV3fptl5dl+HMmZMyoyV1NctmToGih0YuMq6NlnMhhy281vfZ7SYOd6uufkJevWDEr37cZUmZcZqcnasJmXGKuo0naltnT16bUupNu4sl2EYunpehr50YYZCgy2qberQRwVOrf+oVDctGj/CzwYjobi6RcFBZiXFhvk6FAyhsBCLpmTHadt+p5Zflst7xwBypKrv81xuKkWwwVo4M0W7Dx3VzgO1unBSoq/DgR94c1uZurvdWjI/Synx4ZqcHattBU69/H6RfvWXTzQhPUbXXZKjHIrPAIAAQhEMAauoskURoVbZz3Oxb4y8SZmx2rynWsU1LcpJ5s23Pyuvc8nrZT2wkRQXHSJHbJgKSht15dx0X4cDP1JR16akuHBZzGOn0f/Oq/M1JTtOe4sb9GlRvT7cVyNJSndEaFJWrCZnxSk3JVqGIb2zq1JrPyhWe2evLpqcqC9fnH3CGjMJMaG66Fg32JcuzJAtMthXTwvDpLi6VRmOSIokAeiCiQ7tPnRUhyqalJdu83U4GCKHK5oVZDEpLYGLfgZrYmasEmJCtWl3JUUw9HeBzclPUEp83/TZJsPQhZMSNXtCgv7+cZXWflCsn/5hp2aOt+srF2crOT7wp9kGAAQ+imAIWEXVLcpOjpJhMNAx2kzMtMlQX6cLRTD/VnpsaimmQxxZkzJt+uDTGvW6PWOq4IEzq6hzaUJ6jK/DGFFWi1nzpyRp/pQkebxelTlbtbeoQfuKG7RhW7le/6hMwVazQoPNanJ1a1KmTdcvzFX6aX5nXX1RprbsraEbLAD1uj0qr3Xp8lkpvg4Fw2BaTryCrWZtLaylCBZADlc2KzMxkvc658FkGLp0Ror+sumwKmpdSqWgOKb1d4FdlHnSPovZpMtnpWr+lERt2F6uN7aWafehOs3KS9Ci2anHLipibAUAMDpRBENAau/sVfXRNl2Qn+DrUDAIkWFBSndEal9Jo5bMz/J1ODiDUmerIsOsdEyMsEmZsXpnV6WOVDYz2AdJfdP8NbZ2jYn1wE7HZBjKTIxSZmKUrrkoUx1dvTpQ1qS9xfU62typO76UqsnZcWc8B91ggauyrk29bo+yWA8sIAUHmTV9XLx27K/VjVeMo2gSALp73CpzturKuWm+DmXU+8LUJP3tvSJt2l2pWxbn+Toc+Iiro0dv76zQ7AkJZ3y/GBJk0bXzs7RwRore2Fqmv39cpR37a5WRGKkrZqVqbr5DVgu/YwEAowt/uRCQimta5JWUTRfRqDUxy6Yjlc3q7O71dSg4g7KavqmluCpwZOWl22QyDO0rafB1KPATlXVtkqRUO1PWHBcabNH0cfG6+co83Xf9tLMWwI67+qJMeb1erf+odJgjxEgqrulbWyiT6XsD1tz8BLk6elRY2ujrUDAESmpa5fZ4lcu6ROctItSqufkJ2rKvRh1dfLYaqzZsL1Nnt1tL5mcO6PjIsCBdvzBXv/jufN2yOE/dPW797rVCff+JD7Tm/SI1u7qGN2AAAIYQRTAEpKLKZhkSV/uOYpMyY+X2eHWgrMnXoeA0eno9qjzaxnpgPhAWYlF2cpT2FTPQhz6VdS5JUuoY7gQbKp/tBmtsZYAnUJRUtyg8xMJasQFsclacQoMt2lbg9HUoGAJHKpslSTkUwYbEwhkp6up26yPyY0xydfRo446+LrBzfa8YHGTWwhkpeuSuC/TPy6cr8/+xd+fxUdX3/sdfs2SyJ5NlsocECNnYEoggKqioYC2KVr211m6K3bXLr1pre91tL9pab1ut1dqqt5ZuLsgi4g4oIPsWtiwkZN/3feb8/giELYEASWaSvJ+Px8As55z5ZDKfnPM9n/P9fqODeOuTQ/zk2U95ftke8ksbBilqkdFh64FK7vvTev7+7gEKyxvdHY7IiKXhEGVEyitpICrMDz8ffcWHqwlxwXhZzew5VMPUpHB3hyO9KK5qwukyNB+Ym6QnhrDs00M0t3Xi7+Pl7nDEzYoqm/H1tmr4vgGiucFGnvzSRhKjNVfsSOZlNTM92cGWAxV8tcuJl9Xi7pDkPOQU1xMZ4kuQn83doYwI42KCGBMRwIdbi7ksI0Z/C0eZ1ZsO09bh5Lpe5gLrL5PJxMSxoUwcG0p5TQvvbyli3a5SNuwpJzTIm7FRQSRGB5IYFURCVCABvmqfiJxJTnE9f3prD4F+Xny0vZj3thQxJjKA2VNimJkeqTwSGUCqEMiIYxgGuSUNZKhwMqx5WS0kx9vJPqSeLp6qoKz7KqUx6gnmFumJobz1ySH2HqolK1XzH452xZVNxDr8dVJrgGhusJGlo9NJcWUzU8b3b0hMGb5mpEewblcpu/JqmJbscHc4co4MwyCnuJ4p/RzGVs7MZDJx2bRYXlm1n5zieibE2d0dkgyR7rnADpOV4iAuYmBGDIgM9ePWq5K5Yc441u8p48DhOg6VNbLlQGXPMg67T/dcrdGBPQUyH5tOQYocVV7Twu/+s5OQQG/u/8p0zCYTG7PLWbezlFffPcA/PzhI5gQHs6dEk54Yitmsdp7I+dAeaIQxnJ20Fuymq7YZTjgRZjrxscnU/dzRf/t4bTiqaWwnrKOESUFeOCtyz25lwxicoAbpPd2x5lB+RrPCG/jwcBG1Ob4EntNVoAMR65FcOPnE8sk51McybR1+OOtajgupHzH1Z5m+TnSfnPdns8zp0v6UkAzqCwuY4FtHaEcpzkrTEH43Bul93JH/5yHB4iLFp4qy/btw2scM7MZNJjAdGTHZZD7y+Mh3/uj/huvIzei5bxx3v48NH9v+ye93/OucPq9OXvZUR36Xx/9ODYO2dj+6altOu8wJr53y/PGP+1rGOO6/3p47efumoztiej7foz9jz++gt8emnoKXAVB9iMljQ3FW5DHgzqqwdjbLHvm+uFwYJ3+fXEe/R8aR76D5uO+iGcxmTMc/17PJvvK4t9/zyYsce94Ark12UrK3nA0freOqC+L7vW6ff6P6Wre3v8mnHJcde+2U47bTOek9T43gDN/1s3WafZDppOXa2k/aP/a2DcMAwzjy/TiSd8f/nTF6y6Wj949tp6y6hSRLCek+3nQVt5/+GLmPn+Pk+E8b9zA+jh7ukn1dpPrXkbtzO1Pt490dzrDQ1umPs7bZ3WGcoKaxjZD2UiYH2wZnvzYcDcBFLjMinHzqW8uOjVsY5z1uAIKSgdbe2ce+8ayc+F3ZsK2IsK4Krp/owFl56Dy3fSIbcGk8XBofAATQ2tFFaXUzpVUtlFQ1U1JayfqDHawHLGYT0eF+PYWxeEcANvXYHUbO8hjxnI4pjVPaZsbJz5/S5jr+/16W6WmTHX//qKPHjuZj7bHj2rytzX501bdywrGiyYTppMfnctzX3NbJP9/eR6zJye1XpuLfVATAZfFwWXwYZTW+bM+pYnfeAf5zMJtAfxtTxoURH+FPhN2PoACv7rbQOXPHsepQfIf6vfGzXHxwzxWZQ+Mxeemiy8FmMozhcdavuroJl2tYhOpW7dtX0vHZv9wdhoiIiIiIiIiIiIiI9MErdQ4+c253dxgezeEIpLKyEbPZRFjYufVqVk+wEcY2ZR7hqVOorWmiz6ueT76CvderJOCsK+N9MTjPiwzObuUPtxWTnV/Dd26YhPlcrowYwliPreaOqzDO4z2HKF7DMHj2zT0kRAay4OLEIXnPPgLp5XH/eoEEB/tRX9964rK9fnynuwr9dPEYvd498UE/ljnhrtF9ddNpQnS6un83GUnhzJ4S3esyfTwxQAZpu4P21R6cDW87WMUHW4tZtCCN4IABunLohN4W3feNo/eP9vAyjO7vqNmMCTOYTaf21un5mfvTq6qX5Xp77ZSeVMc9f3wPkOP/Nx27H2w/OR9P1+vmNMv0PD5zb9C+c/u4z+f4z5zuv30n/w6OvNDr4/zSBpauy+Pmy5KIdfhzemd71dugLdzt+O+N+dh909EeXybTsd5iGMd6iJ1wO+lA48QuO73f72uZk36HdU0d/HXlXqYkhXPFtLhel+lr3f5sv9fv/5l6J/aWF33+zKeL61yX70N/esMdt1xwsC/19Sdd7X7yPqqnV2r335tjvSWPfkeO5lhfVw53b2f5J/kcKm3k+1+YdOob9fk3qY+fo7fX+9z/ijsUVzbz749yuHrmGFLHhLg7nNPwjO9KcJAf9Q3n2/NkYL2/pZj9h2v59nWTulN/tBvAr0p1fSt/e/cgF0+OIitFw2l7mqBgXxpObjuelRO/LBv2lLFxbwW3XpmMw+5zfsENkI4uJyVVLRRVNFFU2URFXSuGARazmYgQX8KDfXpuYUE+eNvUW2xQnNN5urNc4Zy231fP/pN7X/WyzNHRMk5e5vg2Wa/HjsfaXcf3PLMH+1JXd6Sn9CntMFcvPcvOzGUYrFhfQG5xPQtmJZAUF9zvdds7XFQ3tFJV10ZVfStVDW1U17fR0XlsFJYgPy8iQ/2IDvcnOswPR7APllN2pO481zsU36FB2vggxmKJUO/soaAi2AhjMlvxiU/D6tPo7lDcZsOHndgcUdgSMtwdigwA3wT4KL+G66JTMQ/DuW78HIE0V468fCytaGJXex2zxqdjTYhydzijVpxfM/s/28iutiguS411dzgeb6TmY05pAdmdHYRPvACrjyZPHkjhQHieL6/tKWfG5UmaG2wADWU+bqqpITIqGmtM6pC8n7hXfLxB6QaDD8oCmXTJFHeH4/E8cd/4ybsdBEfGYktUe26gRQKdu7x5PbeNGVdNHZbtq5HM3xFIywDlY3NbJ0tebyB97DSip04ekG0OBCuQNB6SjjxuaeviQFEd+wpqOVTawKeHmmlp7wI6gA7CgnyIc/gTFxFAnCOAWIc/kSG+eGkoRRlkvo5AmvwGdv+45L2DvHsokC9dMY3Uo8Ot95MV8AeOnwjBMAyqG9ooqmimqLKJwoom1pTUU5PfDrRh8+pgXHQQSXHBJMXaGR8bhL/aizJKqQgmI0pnl5PC8kbmzTi7nYl4romJoWzYU05RRRNjIgPdHY4cUVDWfTCYoN+JW0WF+hES6E12fg2XZagINloVVTRzgAE7AAAgAElEQVQTEuitBs0g+fxFiXy6u4yVGwr48lXJ7g5HzlJrexdl1S3MTIt0dygyRMwmExekRvD+liKa2zr1t3GYaW3voriyiekpY90dyoh1eWYsf3prD7vzapgyPszd4cggeXfTYVrbnVzrzhFV+sHPx0pGUjgZSeFA90n92sZ2Dh/pKVZU2X1yf3d+Dc4jU6SYgLBgH6LC/IgK9SM6tPv/qDB/7AG2nnlzRTzJu5sO8+7mw1yZFXdsvuHzZDKZCA/2JTzYl4wJ4T3P1zS0kVNcz8GienKK6lm5vhCXUQBAbLg/42ODmRAXTFJsMBEhvsoZGRX6VQTLz8/nvvvuo66uDrvdzuLFi0lMTDxhGafTyWOPPcbatWsxmUx885vf5Oabbz7jayIDqbC8CafLYFx0/7sUi2dLTwwFIPtQrYpgHqSgvBFvm4XIUD93hzKqmUwmJiaGsu1gJS6Xgdmsg9fRqLiyqR/DIMq5irD7ctGkKD7eXsI1FyaoN9gwU1DWiAEkRge5OxQZQjPTI1m96TBbD1Qye0qMu8ORs5BX2oABjI9Vzg6W6SkOgvy8+GhbsYpgI1RLWyfvbi5iWrJj2LWhTSYToUE+hAb5MDXp2En9zi4XpdXNlFQ3U1bdQllN9+3A4boThoPztlkID/LBajXjZTFjtZiwWsxHbiasVjNWsxkvLzP+Pl4E+noR4OtFgF/3//6+3c/52CyYTCa6nC4amjuoa+qgrqn92K2x+3Fjaydx4f6kJoSQOiaEsGDPGHZSPMuW/ZX84/2DTEt2cMvcCYP+fqFBPswI8mHGkYvA2jq6yC9p6C6MFdezaV8Fa3aUABDo50VSbPCR3mLBJEYFqqeljEj9KoI9+OCD3HrrrSxcuJClS5fywAMP8Morr5ywzLJlyygsLGT16tXU1dVx/fXXM2vWLOLi4k77mshAyi1pAGBcjBpNI0VIoDcx4f7sOVTD1TPHnHkFGRIF5Y2MiQjQECoeIH1sCOt2lVJQ3shYneQddZwuFyXVLT0XDMjgUG+w4Su/rPvYMDF6eJ0ElPOTGBVIhN2Xz/ZWqAg2zOQW1WMCXdQ4iKwWM7OnxrByQwFV9a2EB/u6OyQZYO9uLqK1vYvrPLwX2NnwspoZExl4SlHvaM+x0pqWnuJYbWM7XU5X963LRUtXF11dLrpcxpH/XXR0umhu6zxlatCjLGYTPjYLLW1dp8ygZDJBsL8Ne4A3/j5WtudU8cnuMqD74qnUBDupY0JITQjBPlDzNsuwlVtcz/PL9jAuJog7r013y4WrPjYraYmhpB1pM7oMg5KqZnKKu3uK5RTXs+1gFQBWi4mEqEBC+vHd9fW2Em7vnsvPEexLuN2HIH+bzhOJRzpjEay6uprs7Gz++te/ArBgwQIeffRRampqCA09dsJl5cqV3HzzzZjNZkJDQ7nyyitZtWoVixYtOu1rMrAq6lpZvaWY5uZ2d4fiFjtyqwgN8tZV2iNMemIIH28v4Y01ee4O5az5+dtoae5wdxgDrrC8kTk6qeQR0hO698Vvrs0nMUoneU9nJOZja0cXXU6XeoINsuN7g/l6W45OuS3nYajycUdOFWFBPgT52Qb9vcRzmEwmZqRHsHJ9Ia+vyVXOnoan7Rs3768g1uGPn49mbhhMl2bEsHJ9Aa+8s5+xUbqIylMMVD6+t6WIzAnhw64X2Lk4vufYxLO8KMxlGLS0ddHU2tl9a+k8dr+1k9aOLgJ9vbAHemMP8CYkwBt7gI1AP9sJhQyXYVBU0cS+wu65zTbtq2TNjlKge/j61DF2AnUcMuwMRD4awEfbigkJ8Oaum6bg7eUZPazMJhNxju559o5Oq1Df3EHu0aJYST0l1S2n3YZhGDS3ddFw0mdktZgJD/bpvtl9CfD10lHYGWRMCNcFzUPgjEeWpaWlREZGYrF0J6rFYiEiIoLS0tITimClpaXExBw7IRodHU1ZWdkZX+uvsLCAs1p+tNpVUMu/3j+A0dflLKPAtZeMw+EY+Qd7o8lVFyayZnsJy9cfcncocoTFbObizDjlmgdwOGBaagTb9lewO7/a3eGIG/j5WLlwaiyOMBXCBtNXF0xke04VK9YXuDsUOUs6NhydFsxJ4v0txcrZYehLV6UoZweZwxHI5VnxfLjlMHvya9wdjgwwH5uFb1w3SXk0hCIjgpg+qfu8p9NlkF9cz86cKnblVvHZvgpa27vcHKG4i8Puy6PfuogYh2ef13Y4ICkxjPlnuV5bRxeVta2U17RQXtNCxZH/y2tb2LK/kqZWz7nQxlP5+duYMUVzvJ/J+e7Ths3lVdXVTbhco7ew01+TE0JY+uR1VFY2ujsUtxrtP/9I4wiw8dxPLnN3GOfE4Qgc0d/HkfyzDSffv36Su0MYFkZ0PrpcI/dn8xAW4H/vnu3uMEaMoc5H5cfoYwOe+dEcd4fh8Tx13+iJMY00t105gduuHPy5aaT/BjoflUfuE+xjYfakSGZPinR3KHKOBjYfjRGdjz5mSAj3IyFcc8afq5H8/RgIR/PRbDadc0cp85kWiI6Opry8HKfTCYDT6aSiooLo6OhTlispKel5XFpaSlRU1BlfExERERERERERERERERloZyyChYWFkZaWxvLlywFYvnw5aWlpJwyFCHD11Vfz73//G5fLRU1NDe+99x7z588/42siIiIiIiIiIiIiIiIiA61fwyE+9NBD3HfffTz77LMEBQWxePFiAO68807uvvtuJk+ezMKFC9mxYwfz5s0D4Hvf+x7x8fEAp31NREREREREREREREREZKCZDMMYFhNtaU6w/vPUcd1FRiPlo4jnUD6KeA7lo4hnUC6KeA7lo4jnUD6KeI4hmRNMREREREREREREREREZLhREUxERERERERERERERERGHBXBREREREREREREREREZMRREUxERERERERERERERERGHBXBREREREREREREREREZMRREUxERERERERERERERERGHKu7A+gvs9nk7hCGFX1eIp5D+SjiOZSPIp5D+SjiGZSLIp5D+SjiOZSPIp7DbDadV06aDMMwBjAeEREREREREREREREREbfTcIgiIiIiIiIiIiIiIiIy4qgIJiIiIiIiIiIiIiIiIiOOimAiIiIiIiIiIiIiIiIy4qgIJiIiIiIiIiIiIiIiIiOOimAiIiIiIiIiIiIiIiIy4qgIJiIiIiIiIiIiIiIiIiOOimAiIiIiIiIiIiIiIiIy4qgIJiIiIiIiIiIiIiIiIiOOimAiIiIiIiIiIiIiIiIy4ljdHYAMnPz8fO677z7q6uqw2+0sXryYxMREd4clMirU1tZy7733UlhYiM1mIyEhgUceeYTQ0FBSUlJITk7GbO6+7uCJJ54gJSXFzRGLjGxz587FZrPh7e0NwE9+8hNmz57N9u3beeCBB2hvbyc2NpYnn3ySsLAwN0crMnIVFRXxve99r+dxY2MjTU1NfPbZZ33mqYgMjMWLF/POO+9QXFzMsmXLSE5OBk7fblSbUmRw9JaPp2tDAmpHigySvvaPpzs2VTtSZHD0lo+na0PC6XO1LybDMIzB+zFkKH31q1/lxhtvZOHChSxdupTXXnuNV155xd1hiYwKdXV17N+/n5kzZwLdf8Tr6+v55S9/SUpKClu3bsXf39/NUYqMHnPnzuW5557radAAuFwu5s+fz69+9SuysrJ49tlnOXz4ML/61a/cGKnI6PL444/jdDp54IEHes1TERk4mzdvJjY2li9/+csn5Nrp2o1qU4oMjt7y8XRtSEDtSJFB0tf+sa9jU7UjRQZPX/l4vOPbkNB3rp6OhkMcIaqrq8nOzmbBggUALFiwgOzsbGpqatwcmcjoYLfbexovABkZGZSUlLgxIhE52e7du/H29iYrKwuAW265hVWrVrk5KpHRo6Ojg2XLlnHjjTe6OxSRUSErK4vo6OgTnjtdu1FtSpHB01s+qg0p4h695ePpqB0pMnjOlI8D1YbUcIgjRGlpKZGRkVgsFgAsFgsRERGUlpb2dKUXkaHhcrlYsmQJc+fO7XnuK1/5Ck6nkzlz5nDXXXdhs9ncGKHI6PCTn/wEwzCYPn06P/7xjyktLSUmJqbn9dDQUFwuV8+QTyIyuD744AMiIyOZOHFiz3Mn52lQUJAbIxQZ+U7XbjQMQ21KETfprQ0JakeKDLXejk3VjhRxn97akHD27Uj1BBMRGWCPPvoofn5+3HbbbQB89NFHvP7667z66qvk5OTwzDPPuDlCkZHv1Vdf5a233uK1117DMAweeeQRd4ckMuq99tprJ1zBpzwVERHpdnIbEtSOFBlqOjYV8TwntyHh3HJVRbARIjo6mvLycpxOJwBOp5OKioqz6t4rIudv8eLFFBQU8PTTT/dMYHw0DwMCArj55pvZunWrO0MUGRWO5p3NZuPWW29l69atREdHnzDETE1NDWazWVfviQyB8vJyNm3axLXXXtvzXG95KiKD63TtRrUpRdyjtzYkqB0pMtT6OjZVO1LEPXprQ8K5tSNVBBshwsLCSEtLY/ny5QAsX76ctLQ0DVshMoSeeuopdu/ezTPPPNMzTEV9fT1tbW0AdHV18c4775CWlubOMEVGvJaWFhobGwEwDIOVK1eSlpbGpEmTaGtrY/PmzQD84x//4Oqrr3ZnqCKjxhtvvMGll15KSEgI0HeeisjgOl27UW1KkaHXWxsS1I4UGWqnOzZVO1LEPU5uQ8K5tyNNhmEYgxapDKnc3Fzuu+8+GhoaCAoKYvHixYwbN87dYYmMCgcPHmTBggUkJibi4+MDQFxcHIsWLeKBBx7AZDLR1dVFZmYm999/P/7+/m6OWGTkOnz4MHfddRdOpxOXy8X48eP5xS9+QUREBFu3buXBBx+kvb2d2NhYnnzyScLDw90dssiIN3/+fH7+858zZ84c4PR5KiID47HHHmP16tVUVVUREhKC3W5nxYoVp203qk0pMjh6y8enn3661zbkM888w7Zt29SOFBkkveXjc889d9pjU7UjRQZHX8ercGobEs69HakimIiIiIiIjGqZmZk991tbW7HZbFgsFgAefvhhrrvuul7X+/3vf09BQQG//vWvAUhJSSE5OZmlS5f2DGn129/+lvLycm666SbuvPNOoPuqxdbWVvz8/Hq2tWLFihMmXT/Zhx9+yDPPPENOTg7e3t5ccskl3HPPPURFRQHw+uuv8/Of/7znRCrADTfcwAMPPMB9993H8uXL8fLy6nnt8ccf55prrmHu3Lk89thjXHTRRQBUVFTw9NNPs2bNGpqbm4mMjOSaa65h0aJF+Pn5kZKSgq+vLyaTqWdb3/3ud3t+NhEREREREU9idXcAIiIiIiIi7rRt27ae+ycXhc5WRUUFK1asOGXs+qysrJ73KSoq4oorrmDTpk1YrWdukq1atYr777+fhx9+mKuuuorGxkaeeuopbr31Vt544w2Cg4MByMjIYMmSJb1u44477uBHP/rRad+nrq6OW265hczMTP7xj38QFxdHaWkpL774IoWFhaSmpgKwdOlSEhISzhi3iIiIiIiIu2lOMBERERERkQFyxx138Pvf/56urq4B2Z5hGCxevJjvfOc7XHvttfj4+OBwOHj88cfx8/PjpZdeGpD3AfjrX/+Kv78/Tz75JHFxcUD3xNO/+MUvegpgIiIiIiIiw4mKYCIiIiIiIgNk3rx5BAQE8MYbbwzI9vLy8igpKTllAnaz2cy8efP49NNPB+R9ANavX89VV13VM5SjiIiIiIjIcKfWjYiIiIiIyAAxmUz84Ac/4Nlnn6Wjo+O8t1dbWwvQ62TPDoej53WAHTt2kJWV1XPbvn17z2t/+ctfep6fOXNmr+9VV1eHw+E4Y0w33HDDCe+zdu3as/2xREREREREhoTmBBMRERERERlAl156KZGRkfzzn/88722FhIQA3XONxcfHn/BaZWVlz+sAU6dO7XNOsNtvv/2Mc4LZ7XYqKyvPGNMbb7yhOcFERERERGRYUE8wERERERGRAfajH/2IP/3pT7S1tZ3XdsaNG0dUVBSrVq064XmXy8Xq1au58MILz2v7x5s1axbvvvsuLpdrwLYpIiIiIiLiTiqCiYiIiIiIDLCZM2cyYcIE3nzzzfPajslk4qc//Sl//OMfWbZsGe3t7VRWVvLzn/+cpqYmvv71rw9MwMA3vvENmpub+elPf0pxcTEA5eXl/OpXv2Lfvn0D9j4iIiIiIiJDRUUwERERERGRQfDDH/6Qurq6897ONddcwxNPPMFLL73EzJkz+fznP097eztLliw5YTjE82W321myZAlWq5X/+q//IjMzk6997WsEBgaeMPzhwoULyczM7Lk9/vjjAxaDiIiIiIjIQDIZhmG4OwgRERERERERERERERGRgaSeYCIiIiIiIiIiIiIiIjLiWN0dgIiIiIiIiKdatGgRW7ZsOeX5b33rW3z7298esPfJzMzs9fkXXniBrKysAXsfERERERGR0UTDIYqIiIiIiIiIiIiIiMiIo+EQRUREREREREREREREZMQZNsMh1tY243Kp01p/hIUFUF3d5O4wRATlo4gnUT6KeA7lo4hnUC6KeA7lo4jnUD6KeI6j+Wg2mwgJ8T+nbQybIpjLZagIdhb0WYl4DuWjiOdQPop4DuWjiGdQLop4DuWjiOdQPop4jvPNRw2HKCIiIiIiIiIiIiIiIiPOGYtgtbW13HnnncyfP59rr72W73//+9TU1JywzM9+9jNSUlJobm7udRtVVVXcfvvtzJ8/n+uuu44dO3YMTPQiIiIiIiIiIiIiIiIivTjjcIgmk4lFixYxc+ZMABYvXsyvf/1rfvnLXwLwwQcfYDKZTruN3/zmN2RlZfGXv/yFzZs3c8899/DOO++ccT0REREREREREREREZGh1traTFNTHU5nl7tDGTUsFisBAXZ8fc9t/q/enLEIZrfbewpgABkZGSxZsgTo7iX2hz/8gZdffpnXXnutz22sWrWK999/H4CsrCxsNhu7du1iypQp5xu/iFt0OV0sXZfPmh0lGiP4DHy9rYyPDSYpNpgJccHEOQIwm1UAFxGRwWcYBu9uOszbGwvpcrpOu6zNy8KlGTHMuyAeH9uwmTZXREREZNRrbe9i28FKPttbQV5JA4YxNOdpTCYT8REBTIgLZkK8nfExQTqOFBlBWlubaWysxW534OVlU4eeIWAYBp2dHdTVVQIMWCHsrP4yu1wulixZwty5cwF45JFHuPvuuwkMDOxzndraWgzDIDQ0tOe56OhoysrKzqoIFhYWcDahjnoOR9+/Ezk/ZdXN/PrvWzlQWMesydGEBfm4OySPVtvYzt5DNWzMLge6i2KpCSGkjQ0jPTGU5IQQfL1H9kGi8lHEcygfR4/W9i5+/6/trN1eTMYEB3ERpz+WLKtp4c21+Xy4rZj/ujKZz81KxMtqGaJoRyflo4hnUC6KeA7lY/+1dzrZnF3Ox9uK2Ly3nM4uF44QXy6eGoOX5YyzvwyIji4XOYfrWPbpIQwDzGYT42ODSR8bxsRxoaSPDSM4wPuctt3W0UVhWSP5JQ0cKqknv7SBlrZOLGYTFosZq8Xcfb/nsQmL2Yyvt5XgABv2QG+CA7pv9gBvggNsBAd4Yx2iz2YkUD7KgQNlhIVF4O2tc79DycvLF4slgoaGGsaMiQLOPx/P6szzo48+ip+fH7fddhsrV67Ey8uLyy677LwC6K/q6ib1uOknhyOQyspGd4cxIm3MLueVd/ZhwsR3r59EVmqEu0MaFgzDoLq+jYPF9eQU1XOwqJ7tB/ZhAGaTiYSoADImOJiW7CAmzG9EXVmhfBTxHMrH0aOspoVnXt9FSXUzN102ns/NHNOvfUvuBXG89lEuL7y5m9c/yOH62WOZNTFKPZgHgfJRxDMoF0U8h/LxzLqcLnbn1/DZ3nK2HayivcNJkL+NOVNjmJkeyfiYILecT2hp6yK3pJ6DRXUcOFzPik/yWbomF4CoUD/Cgn3w97Hi5+N15H8r/j5e+Hlbe56vbWzncEUjhyubOVzRREVNC0fPgnrbLMQ7ArD723C6DJxOF84uJx0u48hjA6fLhdNl0NbhpKG5A2cf51D9fazYA71xBPsSEeKLw979f4Tdl7BgHxXJjlA+CkB7eztmsxddXacfVUQGntnsRXt7O5WVjT35aDabzrmjVL+LYIsXL6agoIDnnnsOs9nMZ599xoYNG3p6hQEsWLCAF154gaSkpJ7nQkJCAKipqenpDVZaWkpUVNQ5BSziDu0dTl599wDrdpWSFBvMN69LJzzY191hDRsmk4lwuy/hdl9mTezO/Za2LvJKugti2QU1vLEmjzfW5BEV6se05O6C2NjowBFVEBMRkcG37UAlf16RjcVs5sdfzGBiYuiZVzpifEww93wpk+xDtfzn41xeXLGXtzcW8oU548icEK59koiIiIibbMgu49XVB2hu68Lfx8rMtEhmpkWQMibE7Rcs+flYmTwujMnjwgDo7HJRUNbIgaI6covrqWvqoKqulea2LlraunCdZrhGh92H+IhAZqZFEB8RSHxkAOHBPpjP4jjUMAxa27toaOmkobmDxpaOnvsNLR3UNrRTWddK9qEaOo47uW8yQViQDxEhvkSG+BEXEcCYiADiHAF42zRCgoxOagO6x0B/7iajHwPlPvXUU2zbto3nn38eX9/eT/ynpKSwdetW/P1PHafxvvvuY8yYMXz3u99l8+bN3HfffaxevRqzuf9XF6gnWP/paoWBVVjeyHNL91Be08LnL0pk4SWJWM7iuyv9U9vYzvaDlWw5UMn+wjqcLoOQQG+mTXAwLcVBcnzwsPzclY8inkP5OLK5XAZvrstj+acFJEYF8r0bJhMWfO7DVhiGwZb9lby+Jo+ymhbGxQRx46XjSUsIGcCoRy/lo4hnUC6KeA7lY99a2jr56XPrCbf7cv0lY5k4NnTY9lgyjO7eWi1tXbS0d9HS1klzWxdBfjZiHf5DOl2EYRjUNXVQWddKRW0rFXWtPffLalpobe8CwAREhPgSHxHQfYsMZExEACGB3iO2QKB8FICysgKiohLcHUaPO+/8Gp2dnXR1dXL4cCFjx44HIDk5hfvvf7Df21m+fCkZGdOIi4sHYNmyN9m8eSMPP/yrQYn7XB39/IekJ9jBgwf505/+RGJiIrfccgsAcXFxPPPMM32uU15ezje/+U2WLl0KwP/7f/+Pe+65hzfffBNvb2+eeOKJsyqAibiDYRi8t6WIf3+YQ4CvFz/5UqZOfA2ikEBvLp8Wx+XT4mhq7WRHThVbD1SyZmcJ728twt/HytjoIBKjAxkbFURidBD2AE1KKSIi0NTayfNv7WF3fg2zp0Rz27zk857Py2QykZUaQWZyOJ/sKmPpunyeXLKNhZeMZeElYwcochERERE5k5UbCmlp6+Ibn0tlTOTwnqfJZDLh623F19tKmAfEEhLoTUigN8nx9hNeMwyD6oY2Dpc3cbii+1ZY3sTm/ZU9ywT4ejEuJoik2GCSYoMZGx2kHmMig+iFF14GoLS0hEWLvsJLL/291+WcTicWS9+5uGLFW4SHO3qKYKPBGYtgEyZMYP/+/Wfc0PHLREZG9hTAABwOBy+99NK5RSjiBk2tnby4PJsdudVkJIXzjWtSCfSzuTusUSPA14uLJ0dz8eRo2juc7M6vZmduNYfKGlm5vrBn6IBgfxuJUYE9xbHEqCCC/PV7EhEZTQrKGnnmjV3UNbXztatTuDQjdkC3bzGbmTM1hlkTI3ll1X6WrsvH5mXmczM954pAERERkZGqtrGddzcfZubEyGFfABtOTCYT4cG+hAf7kpns6Hm+tb2LosruotihskZyi+vZmVsNdM/5PiYyoLsoFtddGAsNOveRGUSkfzZt2sizz/4v48YlkZNzkG9/+/u88spf+NrX7uDCCy8C4DvfuYOvfe0OKisryMk5wFNPLcbPz5+77/4xAE1NzfziFz/l0KF8goKCePzxJwgJ6f/UAp5u6PrYigwjL6/ax55DNdx65QSumB6n3kZu5G2zMD0lgukpEQB0dDoprGjiUGkDh8oaOVTWyM7c6p4JY6PD/EhLCCEtIYSUMSEE+Hq5L3gRERlUu/Kq+cPruwjw9eK+L09nXEzQoL2Xl9XCN65Jo9Pp4t8f5mKzWrhietygvZ+IiIiIwNJ1ebhcBjfMHufuUATw9bYyIc7OhLhjPceaWjvJK6knp7ienKJ61uws4b0tRUD3qD+pY0JITwwhPTGUkEBvd4Uuct4+2VXKup2lg7LtS6Z0dwY4V7m5Odxzz/2kp08C4JVX/tLrctdeez0rVy47oUBWXFzE3r17ePnlJTgcEfzylw/z+uv/5o47vnXO8XgaFcFETlJc2cSW/ZUsuCiRK7NGT7fQ4cLmZenpan9Ua3sXheWN5JU2sK+gjk92lfHB1mJMQHxkQE9RbEKcfUjH1xYRkcHT0tbFX1fuJSLEl3tuyRySnsBms4lFC9Lp7HLx6rsHsFnNzJ4aM+jvKyIiIjIalVQ1s3ZnKVdMj8Nh93V3ONKHAF8vpowPZ8r4cACcLhdFFc3kFNdz4HAdu/KqWb+nDDj+wuVQUhPs+PvowmWRgZCQkNhTADsXU6dm4HB0d0BIT5/Ezp3bByo0j6CzwSInWbGhAG8vC1dl6eru4cLX20rKmO6eX5+bmUCX08Wh0kb2FtSwt6CW97cU885nhzGbTIyNCWTy2DCmJoUzJjJAvfxERIap19bkUt/cwV03ThnSoXCtFjPfXjiJ3722k5fe3oeXl5kL06OG7P1FRERERovXPs7F28vCgosS3R2KnAWL2UxCVCAJUYFcMT0Ol2FQVNFE9qFa9hbUsm5XafeFyyZIjAokPTGUyePCGB8bhMVsdnf4In06OnWLJ/L19TvhscViwTBcPY87OjpOu77NdqxNbbFYcDq7BjZAN1MRTOQ45bUtbE7NrUwAACAASURBVMwuZ94F8ZoDbBizWszd40/HBXPtxWPp6HSSW1zP3sJasg/VsnRdPm+uyyck0Jup47sLYmkJIdi8NIGriMhwkFNUz0dbi7kyK56x0YM3BGJfvKxmvv+Fyfz2Xzv487K9eFksTE9xnHlFEREREemXnKJ6th2s4obZYwnS+ZlhrXuusEDGRAZy9cwxdDld5JU0kH2ohuyCWt7eUMiK9QX4+1iZPC6MKUlhTB4Xpl5iIuchLi6evXuzmTXrEnJzc8jLy+l5zd/fn+bmJjdGN/RUBBM5ztsbCrCYzcyfMcbdocgAsnlZSEsMJS0xlC/MgfrmDnblVrMjp4r12eV8tL0Em9VMemIoU5PCmDI+XONUi4h4qC6ni5dX7SMkyJsb5ox1WxzeXhZ+cNMUfvPP7Ty3dDd33zSFyePC3BaPiIiIyEhhGAb/+SiHIH8b8y7Q+ZmRxmoxkxxvJznezvWzu4c5zz5Uw46cKnbkVrMhuxyzyURSXDBTk8KYOj6c6DA/jeQjchZuu+3rPPDAfXz88QekpKSRlDSh57WFC7/As8/+jv/7v5e4++4fuzHKoWMyDMNwdxD9UV3dhMs1LEJ1O4cjkMrKRneHMezUNLTx0+fWc2lGDLfNS3F3ODJEOrtc7D9cy46D1WzPqaK6oQ2AcTFBZKVEMD3FcV5jjysfRTyH8nFkWPbpId5Yk8fdN04hY0K4u8Ohpa2TJ/6+jdKaFn5081RSE0LcHdKwoHwU8QzKRRHPoXw8ZntOFb/7z06+Mj+FyzNj3R2ODCGXyyC/tIEduVXsyKnmcEV3bxWH3YfMCQ6mJTtIigvGPMgFMeWjAJSVFRAVleDuMEato5//0Xw0m02EhQWc07bUE0zkiLc3FgLwuZn64zaaeFnNTBobxqSxYdx61QSKq5rZfrCKLQcq+deHOfzrwxwSIgPJSnUwPSWCqFC/M29UREQGRVlNC8s+OURWaoRHFMAA/Hy8+PEtGTzx923873928v9uySApNtjdYYmIiIgMSy6XwWsf5RIZ4svsKZ45944MHrPZxPjYYMbHBvOFOeOpaWhjx5GRfD7YWsTqTYcJ9reROSGcaSkOUseEYLVoHjEROT0VwUSA+qZ21uwoYdakKMKCfdwdjriJyWQizhFAnCOABRclUlnXypb9lWzZX8FrH+fx2sd5xDkCyEpxMD01gthwf3eHLCIyahiGwSur9uFlNXPrlRPOvMIQCvKz8ZNbMvifV7fy23/t4O4bJ5MyRj3CRERERM7Wp7vLKK5q5jvXT1JxQwgN8uHyzFguz4yltb2LnbnVbDlQyfo93VNb+HlbmZoUzvQUBxPHhuKtud5FpBcqgokA72w6TJfTxecvVC8wOcZh9+XqmWO4euYYahra2LK/ks37K1i6Lp831+UTG+7PhRMjmZkWSfh5DJkoIiJn9smuMvYV1vHVq1OwB3jevI32AG/uuSWTJ/+xjcV/38YV0+K48bJx+Nh0uC0iIiLSHx2dTt5Ym8fY6ECyUhzuDkc8jK+3lZnpkcxMj6Sj08meQzVsPVDJ9oNVrN9Ths3LzNTx4cxIi2TK+FC8rCqIiUg3tcpl1Gtq7eTDbcXMSIskUkPdSR9Cg3y46oJ4rrogntrGdrYeqGTj3vKeHmJJscFcODGSrNQIgvxs7g5XRGREaWju4J8fHCQpLpg5U2PcHU6fwoJ9ePgbM3jt41ze31LEjtwqvvG5VNISQ90dmoiIiIjH+2BrMbWN7SxakI5pkOd8kuHN5mUhc4KDzAkOupwuDhyu67lwedO+Cny9LUyb4GBGeiRpCRoyUWS0UxFMRr33Nh+mvcPJ52epF5j0T0igN1dMj+OK6XFU1rXy2d5yNuwp52+rD/D3dw8ycWwoF6ZHesx8NSIiw90/PjhIW4eTr12dOuiTYJ8vb5uFW69KJis1gr+u3MuT/9jOZRkx3Hx5Er7eOvQWERER6U1zWycr1h9i0rhQ0hI0rLT0n9ViJj0xlPTEUG69agL7CurYuLecLfsr+WR3GQG+XmSlOJiRFklyvB2z2bPbEyIy8NQSl1Gttb2L9zYXkTkhnDhHgLvDkWHIYffl87MS+fysRIoqmlifXcZn2eW8sLwam9XMhZOiyRgfxqRxobrySETkHOzOq2bDnnKuuzhxWM3FmBxv56HbZ/Dm2jxWbzrMzrxqvn51KpPGhbk7NBERERGPs3JDAS1tXdx06Xh3hyLDmMVsZuLYUCaODeUr81LYnV/NZ3sr+HRPGR9tL8EeYOOC1EhmpEcwLjpIPQ5FRgkVwWRU+2BrES3tXSy4KNHdocgIEBcRwM0RSdx46XhyiurZkF3Olv0VrNlejL+PlazUCC5Mj2RCvN3jezKIiHiC9g4nr7yzn6hQv2HZY9vby8IX504gKyWCv6zcy1P/2sElk6O55Yok/Hy83B2eiIiIiEeobWznvc1FXDgxkjGRge4OR0YIL6u5Z8jE9g4nO3Kr2Jhdzofbinh382HCg32YmR7JjLRI4hz+KoiJjGCWhx566CF3B9Efra0dGIa7oxge/P29aWnpcHcYHq+908lzS/eQHGfnmguH34k18Vwmk4mwYB+mJoXzpavTibL70NnlYtO+CtbsKGXtzlLqmzsI9PMiyN+mAy2RIaL94/Dz+po8duZW870bJhERMnzn7QwN8mHO1GhcLvhgWxGf7i7DajFjD7CN2iESlY8inkG5KOI5RnM+/uejXArKG/n+DZN1oZAMCqvFTKwjgJnpkVwxPZ7oMD/qmzpYv7ucD7cVs2lfBc2tnQQHeBPg6zWq81GOaWqqJyDA7u4wTnDTTdfy5puv8dZbb/L66/8iKCiIceOSznubWVkzCAkJ5Sc/uZuJEycTFBTU5/Jr1nxEc3MTDkcEAPv2ZfPMM//LZZfNPa84Tnb08z+ajyaTCT8/2zlta3S2ukWANdtLaGzpVC8wGVReVjNTk8KZmhROW0cX2w9WsSG7nHc3HWbVxkJiwv25MD2SWROjCAv2cXe4IiIeo6CskdWfHWb2lGhSxgz/eSG8rBZuumw801McvLJqP6++e4BX3z1AQlQgmRPCmTbBQayuQBUREZFRpsvpYmN2ORekRhJu93V3ODIK+PlYuXhyNBdPjqahpYMt+yvZmF3O0nX5vLkun4TIQDJTIzCcLnxsFrxtFnxsFny8rCc89vf1ItDXS8fvMuQee2wx48YlceDAPr797TvIypqJ3X6sWOd0OrFYLOe07V//+ndnXGbt2o9ITU0jPX0SAKmp6Tz44GPn9H5DRUUwGZU6u1ys+qyQ5Hg7yfGeVdGXkcvHZuXCiVFcODGKxpYONu+rYH12Oa+vyeONNXmkjLFz8eRopiU7Rm3PABERAKfLxUtv7yPA18rNl5/fVW2eZmx0EA9+4wJKq5vZdrCKbQcrWbo2nzfX5hMe7MO0ZAeZE8JJigvGYtZckiIiIjKy7SuopaW9i6xUh7tDkVEoyM/G5ZmxXJ4ZS01DG5v3VbBxbwUrPz1ER6fzjOvbrGbCgn0IC/YhPMjn2P1gX8KCfAgOsGk6jBGk88AndO5fMyjb9kqZg1fyxWe1TnJyKn5+fqxc+RYbN27Az8+PoqJCHnjgUUJCwnj66ScoLy+jvb2dK6+cz1e/ejsAO3Zs4ze/+R8AMjKmYRw3/N5NN13LE0/8lnHjkqisrODpp5+kqOgwAFdeOZ/k5FTWrVvD5s2fsWzZUr74xVuJjIzimWf+lxdf/D8A3n57OUuW/B8mk4mYmDjuvfd+QkJCWblyGe++u4rAwCDy8nIJDAzgsceeICwsfCA+wtM641nW2tpa7r33XgoLC7HZbCQkJPDII49gt9v50pe+RGtrKwAOh4OHH36YuLi4U7aRn5/PAw88QENDAx0dHVxzzTXcddddA//TiPTTJ7tLqW1s5/Zr0twdioxSgX42Lp8Wx+XT4qioa2XD7jI+3V3Giyv28n+r9zM92cFFk6NJGxOC2awDJhEZXVZtLKSgvJHvXD+JAN+ROSROdJg/0WH+XHNhAvVN7WzPqWLbwSo+2FrM6k2HCfD1ImNCOBemR5KqfYGIiIiMUJv3V+JtszBpbKi7Q5FRLjTIh3kzxjBvxhgcjkDKyxto63DS3umkraOLtg5n9+OO7seNrZ1U17dRXd9GVUMbh0obaWrtPGGbAb5eXHVBPFdOj9PFzjLgtm7dTEdHB1arlezsXbz00hJiY7trMz/84Xf5+tcXkZExjc7OTn7wg++QlpbO1KnTePDB+3nggUeZNi2L999/l9df/3ev23/kkf9m1qyLefzxJwGoq6vDbrdzySVzSE1N48Ybv9gTx1F5eTk899wfePHFvxEeHs4LL/yR3/72SR555FcA7N2bzcsvLyEyMorFix/jP//5J9/61vcG82MC+lEEM5lMLFq0iJkzZwKwePFifv3rX/PLX/6SP//5zwQGdk9Y+fLLL/M///M//OEPfzhlG08++STz58/ntttuo7m5mQULFnDppZcyZcqUAf5xRM7M6XKxcn0BY6MDSU8c/sMryfAXYfflukvGcu3FieQWN/DJ7lI+21vB+j3lhAR6c+HESC6eFE1MuL+7QxURGXSl1c0sXXeIackOslJGxxXBwQHeXJoRy6UZsbR1dLE7r4ZtByvZvK+CdTtLCfa3cUFqBDPTIxkXE6QhV0RERGREcLkMth2sZOr4MLys5zZ0l8hgMZtN+PlY8fOxAt79Wqeto6u7MNbQRlV9G7tyq3ljTR6rPytk/owxXKFi2LDmlXzxWffWGgy/+MVPsdm88ff35/HHF1NZWcnkyRk9BbDW1la2bdtCXV1dzzotLc0cOnSIkJAwfHx8mDYtC4ArrriKJ598/JT3aGlpYffunfz2t8/0PHf8kIt92bp1M7NmXUx4eHfvroULv8DXv35rz+tTpkwlMjIKgIkTJ7Fp08Zz+ATO3hmzzm639xTAADIyMliyZAlATwEMoKmpCXMfQ7aYTCYaGxsBaGtrw2QyERqqKzzEPTZml1NV38aXrpygk0jiUUwmE0lxwSTFBXPrlRPYnlPNp7tKeWfjYd7eUEhSbDBzpsZwQVoE3l5qIIjIyOMyDF56ex82q5nb5iWPyv20j81KVmoEWakRdHQ62Zlbzcbscj7aXsJ7W4pw2H2YkRbJhemRxDoC3B2uiIiIyDk7cLiOxpZOslIi3B2KyIDwsVmJdQT0HKfPnRZHfmkDb63L5/U1ebzzWSFXzxzD3Gkqhsm5Ozon2FErVy7Dz+/YnIqG4cJkMvHnP7+C1Xri9ywn52AvWxy6drfNZuu5bzZbcDrPPOzoQDirbHO5XCxZsoS5c+f2PHfnnXeSnZ1NSEgIL774Yq/r3X///Xz729/m73//Ow0NDdx77729Dpt4OmFhauSfDYcj8MwLjUKGYfD+1mISogK58sKxGlpIhsS55mNMtJ1rZo+ntrGNj7YU8c6GAv6yci//+OAgl06LY/7MBMbHaU47kbOh/aNnW74uj4NF9fzgi5lMGDv444IPB7Exdj43ezzNrZ1s2F3Kx1uLeHtjISvWF5AYHcRl0+KYmxVPSJCPu0M9a8pHEc+gXBTxHKMtH19fm4/Ny8LlMxLwUUFAPMxA5aPDEciMKbEcKKxlyer9vPZxHqs3FXHDZeP5/MVj8fMZmcO/jwQVFWasVs+bp9liOTEus9mEyWTqeS4oKJCMjEz+/veXuf32OwEoLy/DarUybtxY2tvb2b17OxkZ0/jgg/doamo8YZsWi5mgoAAmT57Kf/6zhNtu+xoAdXW12O0hBAQE0NLSfMLyJhNYrWYuuGAGf/vbS9TX1xAWFs6KFW8yY8ZMrFbzKXGe/PhkZrO5Jw/PNx/Pag/z6KOP4ufnx2233dbz3AsvvIDL5eJPf/oTf/zjH3nooYdOWe+f//wnCxcuZNGiRVRUVPCVr3yFSZMmMXXq1H6/d3V1Ey6XceYFBYcjkMrKRneH4ZFyiurJL2ngq1enUF3d5O5wZBQYqHy8ZGIkF6dHcOBwHWt2lPDeZ4W8/ekhEqICuXRqDDPTI3UVkcgZaP/o2arqWnlpeTaTxoYyJdGu31UvpiSGMCUxhIbmDjbtq2BjdjkvrcjmlZV7mTI+jNlTo5kyPgxLH6MzeBLlo4hnUC6KeI7Rlo8uw2DtjmImjQ2lsaGV0fOTy3AwGPkY4mvluwsnkndBPG99ks8rK/fy+oc5zJ8Rz2WZsfirGOZxXC4XXV0ud4dxCqfzxLhcLgPDME547r//+1F+97unuPXWmwHw8/PnZz97gODgUB566HGeeOJXmEwmpk7NJDIy6oRtHr3/3//9CE89tZgVK5ZhNlu46qr53Hbb15k373M8/vjDvP/+e3zxi7cSGRmFYUBXl4uEhHF861vf5667voPJZCImJpZ77rmfri7XKXH2FvfxXC4XlZWNPfloNpvOuaOUyTCMflWWFi9ezP79+3nuuedO6LZ2VGVlJfPmzWPbtm2nvJaZmcl7771HWFgYAA8++CDx8fEsWrSo34GqCNZ/o+3A6Ww8v2wPO3Kq+M33LsbHpoKBDL7Bysfmtk427Cnn4+0lFFU2YfMyMyMtkkunxmi+GJE+aP/ouQzD4Kl/bienpIFH75hBeLDvmVcSAMpqWli7s4RPdpXR0NxBcICNiydFM3tKNJGhfu4Or0/KRxHPoFwU8RyjLR9ziur55d+2cOe16cyaGOXucEROMBT5mFtSz1vrDrErrxqbl5lZE6O4YnoccRry3GOUlRUQFZXg7jBGraOf/0AUwfpVBXjqqafYvXs3zz//fE8BrKamBqBnbq9Vq1aRkpLS6/pxcXGsXbuW66+/nqamJrZs2XLCkIoiQ6GhuYPN+yq4NCNWBTAZ9vx9vLhiehxzp8WSX9rImh3FbMyuYN3OUmId/syZGsOsiVEE+OpKIhHxfOt2lbLnUC1fvipZBbCzFBXqx82XJXHD7HHsyq1m7c5SVm0sZOWGApLj7cyeEk1WquaSFBEREc+yeX8FFrOJqeM1BLaMTuNjgvnRf02lsLyR97cU8enuMj7eXkLqGDtXTI8jY0L4sBjhQWQ4OGNPsIMHD7JgwQISExPx8emeayAuLo67776bn/3sZ3R2dgIQGxvLz3/+c+Lj4wFYuHAhzz//PJGRkezevZvHHnuMlpYWurq6uOaaa/j+979/VoGqJ1j/jbarh/prxfpDvPZxHo8tmklMuL+7w5FRYijzsbW9i8/2lrNmRwn5pY1YLWayUhzMmRpDyhi7eofJqKf9o2eqa2rnFy9sJM7hz71fnoZZf6vOW21jO5/uLmXtzlIqalvx9bYye0o0l0+LJTLEM3qHKR9FPINyUcRzjKZ8NAyDe/+4nliHPz+8uf9TpYgMFXfkY1NrJ2t3lPDB1mKqG9oIC/LmssxY5kyNIdDv1FHZZPCpJ5h7DWRPsH4Ph+huKoL132g6cOovl8vgp8+tx2H34d5bp7k7HBlF3JWPheWNrNlRwvo95bS2dxEZ4sucqTFcNDmaYH8dPMnopP2j5zEMg2fe2M2uvGoevn0GUR48fN9wZBgGBw7X8eG2Yrbsr8TpMpg8LowrpscyaVyYWwuOykcRz6BcFPEcoykfD5U18MhLm/nGNanMnhLj7nBETuHOfHS5DLbnVPH+liL2FtRitZiZmR7BzLRIUhNCsFrUO2yolJUVEBk5RheVu4FhGJSXFw7tcIgiw93OvGqqG9r44twkd4ciMiTGRAZy27wUbr48ic37Klizo4R/f5TL62vyyJwQzqWZsaQlhKjHhYi41eb9lWw9UMnNl41XAWwQmEwmUsaEkDImhLqmdj7eXsJH24p5+t87ibD/f/buOzqS6z7w/beqOgd0QM6YnBMnc5g0TBKDqESJpCVZNlfet16vbK+9tGVbR6Jsa03J1p49q+cn0qtAWRIpKwdKzOQwTx5O4GDyAANgkFOj0bnq/VHVARMxM5hphN/nnD7VDaAbt7vrVt17f/d3y837rqvlhuXVchFuIYQQQlxTO5p7UBWFVfPKi10UISYdVVW4bn45180vp71nhJd2tfP2/k7e3NeJy6GxbHYpK+eVsXxOqbTjrzJNs5FKJXE4nMUuyoyTSiXRtIkLXUkQTMwIr+xqJ+BzsHKerDUtZhanXWPTsmo2LaumozfKa+928Oa+0+w41ENF0M1NK2u4YVk1JZIdJoS4xkZiKX7w/CEaq/zcsa6+2MWZ9oI+J/fdMIu7Nzay63APL+1s40cvH+Xnrx1ng3UR7voKuQi3EEIIIa4uwzDYeaibhY1BuYa1EBdRW+7j03cu4IHNcznYMsDuI73sOdrL9mbzmnrz64OsnFfGqrlllAXl2soTzecLMjjYQzBYjt3ukIywa8AwDFKpJIODPfj9oQl7XQmCiWmvezDG/uN93LupSVKGxYxWU+blgVvn8dGbZ7PzUA+v7ungJ68e4+evHee6+eXcvLKGhZIdJoS4Rp568TDReJq/eGCRXPD5GrJpKusWVbJuUSWtXRFe3tXGOwc6ee3dDpY0hbhzfQNLmsLSwRNCCCHEVdHeE6VrIMYd6xqKXRQhpgyHXWPF3DJWzC1DNwxOdAyz52gvu4/08tSLR3jqxSPUlftYPqeUpbPCzK0LyBjoBHC7vQAMDfWSyaSLXJqZQ9Ns+P2h3Oc/ESQIJqa9LbvbURSFm1fWFrsoQkwKdpvGhiVVbFhSxem+KFv2mNlh25u7qQi5uXF5NY1VfkpLXIRLXDjtWrGLLISYZvYe6+XtA118cFOTZB8VUUOln898YBEfu2Uur73bwQs7TvH1H71LXbmXO9c1sH5xpXSehRBCCDGhdhzqRgGumy9LIQpxOVRFYU5tgDm1AT568xy6BkbZc6SXPUd6eW5bK799pwWnQ2NRQ4hls8MsmV1KhWSJXTa32zuhwRhRHBIEE9NaKp3h9b2nWTW/jJBf1m8V4kzVpfnssB2Hetiyp4Ofbjk+5m/8HjvhEhdlVlCsNOCiLOBiYUMQj6w/LYS4RLFEmiefPURtmZe7NzYVuzgC8Lnt3LWhkdvX1LP1vS6e29bKt545yM9eO85ta+q4eUUtHpd0G4QQQghx5XYe7mFefZCALMkvxISoDHm4c10Dd65rIJZI09wywL4T/ew/3seeo70AVITcLJtVypLZYRY1hHA6ZLKzmFmkNyumte3N3YzEUmxeJVlgQlyI3aaxcUkVG5dUMRBJ0DMYo284Tt9Q3NwOx+noi7LvRB/JlG49R2XNggpuWlHN/PqgLJ0lhBiXn712nMFIgj/+0FLsNskymkzsNpUbllezaVkV+0/08+zWVn78yjF+/eZJblpRw+1r6ikNuIpdTCGEEEJMUaf7orT3RHnwtnnFLooQ05LbaWPV/HJWzS/HMAy6B2LsO97H/hP9vL6vg5d2tWHTVBY2BFk+p5Tlc0qpCHmKXewpSTcMRkZTDI4kGI4mGYomGRxJMBRNmo9HkiTT+kVf55ZVNdy4vOYalHhmkyCYmNZe2dVOVdjDwsaJu5CeENNdyO88b+akYRhE42k6eqO8814XW9/r5O0DnVSG3NbAaTVBn2RdCiHO7Wj7EC/vbGPz6jrm1AaKXRxxHoqisGx2Kctml9LSGeG5ba28uKONl3a2sWFJJXdvbKIqLJ1lIYQQQlyanYd6AFgtSyEKcdUpikJl2ENl2MNta+pJpXUOtw2y71gfe4/18cMXj/DDF49QFfbkAmLz64OyHPoZ0hmdrv5R2nqitPWMcKp7hPaeEQYiSXTDOOvvXQ6NgNdBwOvA67546MXlkPDMtSCfspi2WjojHOsY5sHb5kmGihATRFEUfG478+uDzK8P8onNc9nR3M3re0/z0y3H+flrJ1g+p5SbVtSwbE4YTZXGkxDClM7oPPm7ZkIlTj5y0+xiF0eMU2OVnz/64BI+evMcntvWypZ3O3hrfydrF1Zwz8Ym6uSabkIIIYQYp52HephdU0K4RDLLhbjW7DaVJU1hljSFeeDWeXQPjLLXCoi9vKud57efwunQWNIUzgXFZtIkZ90w6B+O09k/SntPlLZuM+DV0RclnTGDXZqqUF3qYV5dkLKgi4DXaQa8fA4r8OWUpSYnKQmCiWnrld1tOOwqm5ZWFbsoQkxbTrvGpmVmBlhn/yiv7+3grX2d7DnaS8Dn4GM3z2HTsupiF1MIMQn89p0W2nuj/OnHluN2ShN0qikNuHjo9vncfX0Tz29v5eVd7Ww72M2qeWXcc30Ts6pLil1EIYQQQkxiPYMxWroi3P++OcUuihACqAh5uG2NmSWWSGY42DLA3mO9vHusj12HzazNhkofy+eUsXxOKbOrS1DVqZ1kYBgGI7EUXf0xOvtH6RoYNbf9o3QNxEgVLF8Y8DmoL/exeFaY+nIfdRU+qks9kik3RckIhJiWRuMp3jnQxYYllXhc9mIXR4gZoSrs4f5b5vLhG2ez71gfv9vWyreeOUhbzwj33zJ3yjeWhBCX73RflN+8dZJ1iypYMbes2MURVyDgdXD/LXP5wPpGXtxxihd3tLH7yA6Wzg5zz8Ym5tcHi11EIYQQQkxCuaUQF1QUuSRCiDM5HRor55Wxcl4ZhmHQ3hPl3WO97D3WxzNvn+Q3b53E57azbHaYZXNKWTqrFJ978o63JpKZMQGuzv4YXQPm/Wg8nfs7TVUoD7qpCntYMitMZdhDVchDTbmXEo+jiO9ATDQJgolp6c19nSTTOu9bVVfsoggx49g0lVXzy1k2p5QfvXSU57adoqN3lP/8wSV4XHLaEWKm0Q2D7/6uGadd48Hb5he7OGKC+Nx2PnTjbO5c18Aru9t5blsr//SDXSyoD3LfDbPkeqxCCCGEGGPn4W4aKn1UBN3FLooQ4gIURaGuwsx8untjE9F4iv3H+9l7rJd9x/t5+0AXigJ15T5qyrxUl3qoKfVSXealMuS+JplSum4wFE3SNxSndzhG31CcvqE4tcAI5wAAIABJREFUXQNmhtdAJDHm70N+J1VhD+sWVZqBrrCbyrCHsoBLLuMxQ8hopJh2DMPg5d3tzKkpobHKX+ziCDFj2TSV37tjPrXlXn7wwmH+8d938LmPLqcy7Cl20YQQ19Brezo40jbEH9y1kIBXZtNNN26njbs2NHLr6jpe29PB77a28NWndrOoMcSHbpzFvDrJDBNCCCFmuv7hOMfah/mwXBdWiCnH67KzfnEl6xdXousGJ04Ps/dYHyc7IxxrH2Lre125v9VUhYqQ2wqKeQj7XWiqgqYpqKqCTVVzjzXrvqJAKqOTzhik0zrpjE4qo5PJGNbPdeKJDP3DcfqG4/QOxRmIJMjoxhnltFEV9rCoMWQFujxUhtxUhjxynS4hQTAx/RxsGaCrf5R771lU7KIIIYBbVtVSFfbwr7/Yzz98bwf/5UNLWdwULnaxhBDXwEAkwY9fPcqixhA3yPUBpzWnXeP2tfXcvLKGLXs6eOadFv7n93exZFaYD904izk1gWIXUQghhBBFkr2+0JoF5UUuiRDiSqiqwpzaAHNq8237RDLD6f4op3tH6eiL0tEbpa03yq4jPRjGBV7sEihA0O+ktMTFnNoApSUuSkuclAZclJa4CJe45LrT4oJk7xDTziu72vG57axdKOtMCzFZLGwM8Xe/v4b/85O9fP1H7/LgbfPYfF0tiiLXCRNiOvvBC4dJZww+/f4FUt9nCIcVDLtpZQ2v7Grnt++08I/f28nyOaV86MZZNFWVFLuIQgghhLjGdh7qsZZN8xa7KEKICeZ0aDRVlZzVzk+ldUZiKTK6TkY30HWDTMYgoxukdT13H8PAZlOxadmbgl1T0TQVu816bFNl2UJxRSQIJqaVgUiC3Ud6uXNdPXabpLoKMZlUBN38zadW82+/fo8fvHCY9p4RHrp9/jVZL1oIce3tPNTNrsM93H/LHCpDsgzqTOO0a7x/fQO3rKrhpZ1tPLu1lS9/dwer5pVx3w2zKC+XJauFEEKImWA4muRw2yD3Xt9U7KIIIa4hu00l5HcWuxhCABIEE9PMlj3tGIbBzatqi10UIcQ5uJ02/uQjy/jZa8f57TstnO4b5Y8/vBS/R64TJMR0MhpP8f0XDtNQ4eOOdfXFLo4oIpfDxt0bm9h8XR0v7DjFc9tOsfs727lhRQ13rW+gSq4TKYQQQkxr2SXRVi+Q1XqEEEIUh0y/F9NGMpXh1T0dLJtTSkXQXeziCCHOQ1UVPnbLHD57z2KOdQzzhW9tY9vBLoyJWixaCFF0P3n1GMPRJJ+5a6EsWyEAcxLEBzfN4mv/ZSP3XN/EjoNd/N2/beW7vztI/3C82MUTQgghxFWys7mbipCbunJZClEIIURxXDQTbGBggEceeYTW1lYcDgeNjY18+ctfJhgM8uCDDxKLxQAoLy/n0Ucfpa6u7pyv8+///u/84Ac/wG63o6oqv/zlLyf2nYgZ7839nQxHk3xgfUOxiyKEGIeNS6uoLffynd81881fHuDt/Z186s4FhEtcxS6aEOIKHGod4NU9Hdy5rl6u/yTO4nHZ+chNs/n4HQv43q8P8Oqedt7a38Xm62q5a2MjJZIZLIQQQkwbI7EUza2D3LGuXq4PK4QQomgU4yJT7wcHBzl06BDr168H4LHHHmNoaIivfOUrRCIR/H5zPf8nn3yS7du3841vfOOs13j++ed58sknefzxx/H5fPT29lJWVnZJBe3rG0HXJUvgYvShThxd+4jhRvGVovpKUbxhFG16r3yZ0XX+5ol38Hsc/O2nVkvjSkwa5eV+enoixS7GpJbRdV7c0cbPXz+Ooih89KbZbL6uDlWVeiwmltTHqy+VzvDFb28nndH5+4fX43RM/+tzGoYBmRRGMgapOEYqjmJzgNOL4vSiqNP/M7gc2frYOxTjV2+c5M39p3HYNe5cW8+d6xpwO6df29UwjPw+4vSa+8mVvFY6CTaHtHvFFbnSc6NhGBjDXWR6TqI43Ci+MlR/KYpdJjVNZYauYySjEB/B0NMoDg+Kww12F4oiGd5Xy3Rsq76x9zTf/u1BvvD7a5hVPf7JUWb7KomRjGEkRyEZM9taqoYWrkdx+S67TIahQ2LUbKvJOVScx3Ssj2LyMNvyCYx4xBy3lz7jBWXro6oqlJZe3vH/or3LYDCYC4ABrFy5kqeeegogFwADGBkZQT3Pcjff/va3+dM//VN8PrOQlxoAE+OX6T7OwKs/BAoDhgqKN2gFxaxOidtqfBiGecMwK6BhgKFbz1dQnB4Upw/F5TO3Ti+Kywt2d9EaC4ZhYMSGMSI96MPd6JEeultbeSDTRqMRJ/r006j+clR/OUqJuVVLKlBKys33UFBuIxVHj/RiRHrRIz0F93sx0nEUlx/V5Udx+1FcJdbWj+IuMbcuH2h2M8io2kCzXbRTYOhpSKcwMilz8CKTwtAzZsfC7UfR7Jf0WZCKoUcHMaIDGLEhFHcJaqgWxRO8pO/IMHSM4W4yvS3ovS3mAI3DbX7Xjvyt8DF2l/neNTuotmu2Txi6jpEYwYhHzH0hHsGIRTASUfPzsztRbE6zfGfcx+Y0B51sdlC0cZfZyKQwUnFImoNXpOIY6SToKYxMGjJp87vMpEHP3x/wOkkmdPMz0uxm+Qq22Kz7Nme+rDaH+TfnKFtuAC0xgpEYxUhEczdSMQxdN+twti7ntuZ9w9BBt+r4GX9rFNT/3GeW/e7trvxjuwvsToxkvODzP9d2BOxOVE8IxRtC9ZpbxRMsuB9AU23csaaO62aX8B8vHOSZl97l4P7DfPTGBioD9nx9yWS36fz9gt8B5n7pcKPY3SgOF4rdepzdZ1EwRofQRwcxrJt5f8h6PISRGAFdxyB/fCQ7X8TQc4dXxeGy6oPL+n/uMZ8ZNifoGXM/ySQhncRIp8zOXNp6nEmZr537rhVQslvzZ4qiongCqIEq1GC1eQtUWe9ncjCPy0Pog6fRBzrMbaTX/F70NIaeMe9nMuYxULfqjKGjuAPm/uEJmvuEN4TqDaJY+43i8k3oYIuRSZv7Z2zI3BesbfYxilJwvivc+sDlNX9nd4GiWjflmhz7jHTS3F+jA+bxPnt/dBAjHjGPwXbz+GEeR7LHFEfufv44ZBt7HCr4GYZu7rd6GvQMZDL571A375tNhOw+qoy5//re07iHu3hw81y03sOkc8/Tzde0Xh9DB5sT1V+G4i876/x8wc8iEUUf6kQf7DT3tdEh87mq9Z2oWv67yd7X7Kj+Mqs9UGGew8fx/4xEFH2gg8xgh7lvD3VBIoqRimOkrMGYZByMzPlfxO5GcVkBsYJ9C5vDLJ+qmW0IVUOxtqia1bbI/15RNSj4Wf5vbfnX0bKvk39N1PGf6y6Ved4wv9/s92roGbNDl0qa23Ri7ONUAjJJBv0ekrEMJZqNT823c0+dnbcP9tG89RTH9+xg3ZJa1i6qwGZNiMifoyjYWsdPRTWPE6oKimb+zPruFVU1Pwubw6wPmsP82aW+V+s4ZqQS1vE8kX8/1tZIJ8xzdHzEukXy9612C3rBvmJzFLQrfVbb0ro5PRjJOCQKn1+4jZqvpdpQPAHz3OoJmu0/b8F9T8Csf0mrzZAcheSo2YYo2AJWe8SBojkK2idWm8TmGFu3rG32MVh1UM+Y5bbqh5GKn/E4Boqaq4/ZOqmWVJjngwvsq7k2UPZzSETPOD5lrONX4WPdLNdZ9UYrqCua+bwz2xiZtNXGM89listv9S/KzO1lBnkMw8gfT7PlzaQLyp+23qfZvtXjIxjxgvautV+Rilt13mYdz62+iNUuR7Oh2JxjzmPmfua19jHzsWFc2vJkRjpJpreFTOcR9K4jZLqOmvv2GRSnD8VfZk7K9JeZx3tfqbkv5fqgVrvKMDBy93Wz3ROsRnX5z3rdiWAkomT629AH2jFGB63zpMv8TrPtumzb1+5CsTkK9gmr3Zk5R/s0e37TdbPNnW13GwW3wr6AzW7Wt1zds87LClZ7M9sOte7n5i8b5rEnV4fNIIGRHIVs3U7Gcv/vrP0j23ez2c33NOZ4FckfY8aMKeS+WfMzcnjMm9OTaw/n6pRyjjqmaig2B4o3nD/3u0suuY1nZNJmW/3MdqWesfphZn0y9JTZbyv8bHL3YxiJUUjFzHOCu+DY6y7clqC6fGagxO46b//schhj+hhGrk7o6SSGYYyvjWLoZls20muOjUR6MUb6zO3okLl/2Zxm39juNtuC2X06e99dYp0vAuYxeByTM4xUHD3ajxEdxIj2o0cHze/jjPOCYt2PvXuaDwSS1HQnSZxOFpxDC/pE2cepxNiA1wXaV4o3jFpajxauRy1rQAs3oAQqxuxThp5GH+pGz7bjcttOs3+m2fLjZL5SFL95P3fs8gTNc3zhebOwnln179x1ZSzVG0YN1aKGa80B70vclwxDx4gNm2NIF/vbTNpqm8TzbRWrnWLej4OqFowRlqH4wuMai8qei/XRAXMfSETN/ebMfcvuMo+t13DcMDtOhKGfcb63ndX2MwwDkqPoBf3AbJ8w+7MOJUNKV8ccO88ax9Hs+fNH4XnE5syNCSg2h3mMyvaDcueKsW2W3PklncLIFIwXZMc89IxZZ31hFF8Y1RsGh+e8n7FhGGafMddHt/rpQ51mGzk31mu1E7L3rZ9j6NYxNNvnGS14bNVTPZPrCyqFbcLCY4HTh1bWgFrWhFbWiOK8xHaHNdZgRHrPfb6Km2OBRjySn2iWHbMt3LpLUK3H+fFBx4SNNRh6pqAPMFxQRqucuTZcvtzZcSz7wltw3fSZCSmHOL+LZoIV0nWdP/zDP2Tz5s18+tOfBuCzn/0s7733HqFQiG9961tUVlae9by1a9fy8MMP8+qrr5JMJnnggQf4+Mc/PnHvQoxhpFOkh3tJD/WQGuohPdRDetjaDvWQHu4b2wG/HIqK6vahuXxmxxJyBzslO4BbMIiLkTFPSJl0fiDM2hrZgRNFRbHZUVQbis2GYp1o8oN1GpnRCOnBLvPEXWAEL4OUsGDpPBQgNdBFerCLTHRwbLEdbuzBShRNIzXUgz46PPb3Nge2YAW2QDmq04M+OkxmdJhMdIjM6HB+0OUin41inRDNASzVbKynrEbeRV5DcbjRPCW5m5rdunzo8REykX7SI/3mNjJgNmzOQXX7cJQ3WLd67NZ9ze3D0DOk+k+T6DxO8vQxEp0nSHSdMDsDAJoN1eFGT4xe0r6S78zZzE6OZn6PY/cNNb9f5AaPC/YVRc0FAZTCQVZDJxOLkBkdRh+NMJ6G5sULbH1XNkfB1uyAGtasfj0ZQ0/Ezc7VtaSoKHYnqt0avFYU9HgUPR4d3354xmvlBgKzg4WF97OD+aqa+z50a9DKGEcjO/dvnB5rvw1YWz96MkY6kt9fz/4c84NmxaJodjRfyLoF0TwlVgd+7AD/mH3VMNCTcfTkKEYihp4YRU/E0JPWtqDu5PYru7lV7WaQQrFbA42KNdJxnsEOw9BJD/eRHuwe891rvjD20hrspTU4SmtRnR7zWJNrRKfzj7NbRTHLkN3fNbu579ud+fvjyBzWEzFS/R0ke9tI9bWT6m0z33P2M3W4zGNt9nWzxwLtjGM7kIkOWftIH5noEGfV7eygSe65tlxwoPC1cwPk2YGnwgEoQ8fQdfT4CHps5JzvSXX50LwBwCATs/5uvHUtV38Kt5pVz7L1Txv7N6rKmOPheRiZFJmRAbPun/lvbQ40fxjNE7DOM3GMVAI9lR2QH3/9LTbF4cIWqMAeKLfOwxXYguUoqo1Ufwepvg5zX+vvsPaT7BNVNF8wN3BqFAZidL1gYoB+xv9zYw9VYQ9VYgtVYQ9VoflCpAe7SfW2kexrI9XbPqYdoWh27KXVqJ4AqsON6nRbWw+q043i8Fg/c2GkkmSswWtzf4qYW2sfzMQiZmDTCjJeddZAZK4eFgTZFM1mDRSoVr3JDsQXds71/LGl8OeXej6aLFSbdSy2js12J4qimuf+7LEzFwCxtpfyXrPtZLffbMNZW83jR3X7Ue0u9ETUbGNat1ybczQytm2n2dDc5vPMbfZ1/ahOD5l4lMzIAJmRAfNYOjKIHj/3ce6sMjo9qC4PqtMLimLuk1Z71Ugn0dNJc2D/silW3bDqi9OD6nBj6BnSg11mn6Tgc1VsDmyhSuzBKjRvAD0eNetRzPxcMrHIFZbnSt6KetY+oHpKsAcrsQUrclsUBd2q65nRcx8DzuzHjOvf2xy5PkH2pjhcuf3TsAbIjEwKI522tmbQNhO/yDktt7/6rP0su8/6cvueYnOQ7DpJvK2ZxOnjueOWPVyNs24BrtoFOGvmYaSTpIe6zX7oYLb/aT6+nHOS6vZjL63FUVqLvazO2tZiC5SPa8a0nk6ax/TuVpI9rda2hUyk/5LLMhUodqdVr72oTo+532ZS6GkrWJe2jnHpZG6/QdPMfcrtN/ex3HHLZ/28BDQbeiKKHh8t2I6afZPsNhXPtTfzbdFskOrs8zCY51VboAxboBxbiXn+17xB9MQomdGhguNi/mYUtDcv6bOxOcYc81SXB9XhMYO6o8NkRs3+vpG8wDUqFRXV4UJxuMzzv8Oc/KY63PljaDplbRMY6RR67piayp9LsoGv8/+jfPv8zL6DFaRKD/eSHu4965ioeYPYAuVovlCubagnYrltto93PqrLi+YNovlC2HwhVG8APT5KZqTP7I9E+i/7O8j/E+scbPVz8+/P7Ptm999z3lwe9FSCZNdJkt0tJLpOkupty+1fit2Jo6IRzRsg1X+aVP/pMf1MW6Ace2kdjvI6NH+pee4cyo+VnTl+NB6Kw3XR45GZWRkb8xxHWT32snoc5ebNXlYLul5Qnt7cOF5qqIfMcJ8ZCJkI2UH/MfVSMb/3QDm2YDn2QDmqy0cmOphrX2RGLjwGdY5/hOJwouYmT9ty7U5Fs4JTWsF9m90c/7A5ztg3rK3NjpGMnaP9NGSec2MjnL9uKaDl273ZY9ZZf6XZzTEBbxDF7syfT3P1OzXmZ8VuCysOF7aSstxN8wZJR/qs/kz7mPqqOD3mebS0FjByfRKzjRJBj51v8oNFtVnH0PxN0WxnTKrOT1ozrONdOtJPZrg39zK2YAXOqtk4qmbjtG6q22ceYwY6SRXc0gOnSQ2cPQacLY/msdrEbrOdrdjdVhtsKDeOe7FjVv5YZB3f7U6zXmfrSa67fsbEZQNz/Mdqv1+o/a06PWPPsVa/QPMEUN1+PHNWYfOHL1hOceUuKQj26KOP0tXVxTe+8Y0xWV+6rvP444/T1dXFl770pbOed91113HvvffyxS9+kYGBAR588EH+8R//kbVr1467oLIc4vhdLGXX0HVIjuYj81AwaycbdDA7emOyTHKzLkcw4tFcJsqY2bjmndz97Ayn3AwwRcsPDI6ZJaZas4itwYZsloCeLsisSZsR/ZIKK7vLzPRq7lH5l5++xx/etYgbllePfa+phDUzqht9uMfM9hruBj2Tm4Gm+srM1/JlZ6OdbxaFmTKvx4fNCH5s2Jz9kJ0VmC3zGfcxMvkZf7nZtNlZJA5zhq2qmrOIYmfMFsjNFBg2X0uzoXisjBora2JM9oS7BH10EL2/HX2gzZzh2N9uznKzKJ6g2QBLWycRzW7OoCprQi1rNLeh2vygcm6Jp/wMECMVM2d9ZDs72Vmy2Uyogq2ZNTB23zAKG/5nZdqc5zFKfpb0WZl52VnTXrM8aWumUyo+5n5uNpTVaMlnEyXP+pmi2QpmM52ZBWXeP2tmpWovmCVk/qy8zEdP50DBrNH8DNLcrNHCGeTWDLgxs8vTCTAMa1ZO/kY2U9PpQXF4zTLlBt0LAlxXwNDTVvZbzAyKpeLmd5+OmzMKs9+Fy3fRmYOGoZv7t5XJYmaxDJh1P1dHzG0iDW8e7OO9UxH8fi+3rWuioSZs/d05ZmJpNnM3SWdnfI6ddZ7P1tBzM+YVTwDVE7zg7KnL/twMw9z3VW3iZhZlUmb262An+tBpcxaXlQlD8iKd0Wx2DMaEDiAqnmA+Oy1YY25DNZeciZpl6GmM0WGMUWv/iFoZe9ljyZmZZNkZ89n3lMsEKQju5mahqXiCQeKKG8UdQHUHrH0hYB77z5j5aBi6ua8norkZ0bkMjHTCGtApyLTMzu7LBeMyBQE4K1tmzIzwgqyWC37Iav547w2OOfZfbN81dN06hlgZOGdlOZyZXZk2A6XqObKNCjOMcp9RQScno/ODFw4xOJLg4Q/Mx+125va7sed8FcXaGskY+khBBnakF32kF324d8x5CzAzMKwsSDVYhRqoRg1WofjLxxW4NdJJ838Md5n1aNhqFwx3Y0R6xgbiHW5rf65BC1n7dqjGbCdcRgbRRcuWy6bKB7AvmiWin5Ghlyn429yM+Pz9sc+znpvJjP0/hp4L4OaOGQXfV/b7yx3XLvB3YzKvc1nO5iBG9udlYQ89XQMF2dNjM29OdfTz+r7TdA3EKQu4uXFlDU1VgYK2an5SQmE9zAa9x9TDTDo/o/bMjFxrm8/QsIKCBcH2fB2w5wZiKMjeLnys2F3m+fkKjv1GOoGRjJnZzJex3KGZOZrPelZUm1kmK2tDcXjM8o6jjGbQ05qFnG3TnZVxbuSPf6pi/p9xzAA3MmmMkd4xddLIbuPDBZlLBatSWCsxKC6/+Z7OlRGZ3U8Lg7vnrQtmvTEzLc9oY6g2c+UA1W4OcCdGMLL9iUgPxnBv/n6kjzEZC6pmlTefAUr2sc15/mxPa19TbM4xbdwrnU2fO6flsnys/lx8BLeWJNrfnz/HFWQcUjjgqtnQymejVc5FrZxrbt3jW9rMMAzzf4/0mcer82QTZ7fG6IDVzsnfjFjB5EXNZmZon9mnMAwzkz/7OBXL9ylUG2qoGjVUhxquRwvXoobrULwhc/9O5Ze0NZJxq00Zz/UdcplTY9qgtjFt0fxxUD27TaKq5nuzVgUhc8YM/4w1oDpmlYCCFQJg7GRBmzNfnx3mRIxLvQRCdijommS0GzqkEugjfWa9j/TlspbMtkAfRqxgkouqje33FfYDnb58dmo2G7LwuJ2tR3aX2Va6hM/GSCfP7osnRjHS1oog2Yxfa+JR9r55DnHk+/lW5nGuf5PN/h6TKZH/PrM/93ocRIcj1rkpu08UnK8yKQxDN7OKsuMZ/oLMJZtzfN9F2lpmMDacWxHDXB1hMJcRo48OYsSGzT6wN5xfySO3wkf+Z2h2zD58/ryAobP9vU6efLaZP79/GXPqwuaEWXVilzs20kkzw6XvFJm+VvS+VozYsNlmDNVY7bhas914kQxeI53EGOk326MjfeY51OYyMx4LzqFjsiDH2TY04iNkBtrRc7cOMxs1Nnze5yieoJnx4yvLX+5kPKuBqFpu9ZZ8NqBrzKozGBmzTx7J1sneMfeNkX5rLMsxth+SzTzPPnb6rEz5ghVzcttE/n5BmzM3QbOwPZvtjxS2zzLJc0+WVZQx7YGzVmuyMrwv1FZWbM58BqTVJ1TdgTH9q/Esh2hkUvmxp4L3P+b4kEmNaTcrY9rQVjta1czP2ppYXng/l5mvqGb9jPajj/Sbx9Bov7nPRs3HRiySz6Yu6J+rweqL9tGzY8W5NoCiFpxj3FeUDavHI+i9LWR6T1rbFozh7oLvVDujHWXLreilllSiBirMY52r4Hu2u8aXNZs9rmfHca2MsTHjbbkxw2T+8RkZ2PlNPjahONzmOSmXUew79zlrml+i6FqYiOUQxx0Ee+yxxzh06BDf/OY3cTjOHujs6enhjjvuYPfu3Wf97p577uGLX/xiLuj1pS99ifr6eh5++OFxF1SCYOM309at/eoPd9E1EOOx/2cjNm16rk+eXQ8b7TIGQgzDPElmA2MD7Sh2N1q5GfRSgzWy9uxVNNPq40Tbf6KP7z17iN6hONcvreL+980l4L38a6hMR9mBJVKJM5ZCyy6HNjYYalgDwudcUjKdNDsGF6HYHGZH0uG5mm9twkl9vHpe3HGKH754hM/eu5iNS6qu+PWMRNRcUlNPm8t/XuKyGZf0v3QdI9qHMTpkLc904SXZxMQYT33UDYNtB7v42Zbj9A7FWdwU4v5b5tJYdXWWSBPichm6OZhoLvvjveZLQF2JC9VFI50wg2KpuDkYdQnLtk80Iz6SC4hlBjvM6/mMWUJaOStwpDg9qOE6M/AVqJQ+zySXHajMLcE/RerQRJpubdX/92f7ONoxxL/8102oM/D7HI98cKzDzFLKBrvGuTzhVSuXNZluvIGGq1eOTMGygAlzgtAVTjYar6lYHw1dvyqT9q4GIxE1A9e9Leax31+OGqg02xue0JR5H+LauCbXBAP4+te/zv79+3niiSdyAbD+fnMJgXDYTNd79tlnWbBgwTmff8899/D666+zdu1aRkdH2blzJ7fffvtlFViIQsfah2huHeSBzXOnbQAMrNl545jVdb7nZhtSNCyf4JIJcXUtnVXK3/+n9fzmrZM8u7WV3Ud6+ejNs7llZS2qKh0psOq4uwTGeYkwRVHNmWQ2B/IJionQNxTnp1uOs3R2mA2Lz14W+3IoTi/aVQx8jflfqoriLwd/+TX5f2L8VEVhw+IqVs+v4JXd7fz6zRM8+t3tbFxSyYdvmk1ZYPJcG1HMbIqqofin33WvFZsTxXd5fZCJprh8aFXz0KrmUbxhYXE1KTYHiq+02MUQEySRzLDveB+blldLAOwCFJcPW/UCqD73eGqxKKoKk+Aa1IqqmZlI4+3sznBTKXCkOL3YahZBzaJiF0XMEBcNgh05coTHH3+cpqYmHnjgAQDq6ur43Oc+x+c//3lSKXOJhNraWr72ta/lnnfffffxxBNPUFlZyWc+8xm+8IUvcPfdd+d+t2nTpqvxfsQM89t3WvC6bNy0sqbYRRFCXCVOu8ZHb57D9Uur+P7zh/n+84d5fe9pPn3nAmZVj28ZHiHE1WEYBv/+/CEMDD59x4LVbHFwAAAgAElEQVQZOWtbXH12m8oda+u5YVkVz7zTwos72tje3M2tq+u4e2MTPrcMiQshhBCTyb7jfSTTOmsWVBS7KEIIIcSlXROsmGQ5xPGbiim7l6OjN8rf/d+tfHBTEx+6cXaxiyPEOc2U+nitGIbBtoPdPP3yEYZHkty8qpaP3jwbr0sGQMXFSX2ceFvf6+LxXx3ggVvnccfa+mIXR0whV1If+4fj/Pz147y1rxO308Y91zdx6+pa7DZZ6kyISyXnRiEmj+lUHx//1QEOnOjnf/23TWhTKDtFiKzpVB+FmOqu2XKIQkxGz25txWFTuXV1XbGLIoS4RhRFYf3iSpbPKeUXr5/gxZ2n2Hmom/tvmcumZVWShSLENTQSS/HDFw8zq9rPbXIuFtdQuMTFw3cv5o61Dfzk1WP8xytHeWnnKT5802w2LKmSZZeEEEKIIkqlM+w52sv6RRUSABNCCDEpyNlITEn9w3HePtDJjStq8HscxS6OEOIaczttPHjbPL74mbVUhNx8+7cH+Yfv7WRHczcZXS928YSYEX708hFG42l+//0L5Rp9oijqK3z8+cdX8JcPrMTndvB/f3OQL39nOwdO9Be7aEIIIcSMdeDEAIlkhtWyFKIQQohJQoJgYkp6fvspDAPuXCdLLwkxkzVU+vn8J1fzB3ctZCSW5F9/sZ/PP/4Oz28/RSyRLnbxhJi2Dpzs5819nbx/fQMNlf5iF0fMcIubwnzhM2v4o3sXM5pI8y8/2sO/PL2b1i5ZwkYIIYS41nYe6sbttLGoMVTsogghhBCALIcopqCRWIotezpYv7iSsoC72MURQhSZqijcuLyGTUur2X2kl+e3t/L0S0f45RvHuWlFDbetrqc04Cp2MYWYNhKpDN97tpnKkJt7r28qdnGEAMxzwYYlVaxeUMEru9r49VsnefQ729mwpIqP3DRbzgNCCCHENZDO6Ow52suqeWXYNJl3L4QQYnKQIJiYcl7e1UYileEDGxqKXRQhxCSiqgqrF5SzekE5J04P8/z2U7ywvY0XtrexZmE5d6xtYHZNSbGLKcSU96s3TtAzGOeRB1fhsGvFLo4QY9htKnesa2DT8mp++3YLL+xoY8ehbu5cV89dGxpxOaT7I4QQQlwtza0DRONpVi8oL3ZRhBBCiBzpBYopJZHM8OKONlbOLaOu3Ffs4gghJqlZ1SX85w8u4WM3z+GlXW1s2dPBtoPd1JZ7qQp5CJe4KC1xmtuAi9ISF36PHUWR6xoJcSEtnRGe23aKG5dXs1CWuBGTmNdl5/73zWXzdXX8dMsxfvNWC6+/e5qP3DSbTcuq5Tp2QgghxFWwo7kHp0Nj6axwsYsihBBC5EgQbJo51DrA479+D49TozzgpizgoizooizgxuuyTfkB3tf3djASS0kWmBBiXEoDLj7+vrnce30Tb+w9zb7jfXT0Rdl3oo9kSh/ztzZNpbTEScDrmHSDowsbQ9y2ug6Py17soogZLJ3R+e7vmvF57Hx889xiF0eIcSkNuPijDy7h1tV1PP3yEb7zu2Ze2tnGA7fOk0CuEEIIMYF03WD3kR5WzCnFbpPVAoQQQkweEgSbZnTdoGcwRmdvlNFEeszv3E6NMiswVhX2sLAxxPy6IE7H1GicpDM6z21rZV5dgHl1wWIXRwgxhbidNm5fW8/ta+sBMAyDaDxN/3CcvqE4fcNx+ocT9A3HGY4m0Y0iF7hAMpXhF6+f4Lltrdy6uo7b19Tj9ziKXSwxA/3unRZauiL88YeW4pWArJhi5tQG+JtPrmbbwW5+8upRvvrUblbNK+Pjm+dSGfIUu3hCCCHElHf41CCR0RSrF1QUuyhCCCHEGBIEm2YWNYX532sb6emJMBpP0TsUp2cwTu9QjF5r2z0QY9/xPn63tRVNVZhbG2BxU4jFTWGaqv1o6uS8eOn2g930DSf45B0Lil0UIcQUpygKPrcdn9tOQ6W/2MW5qNauCL956yTPvNXC89tP8b5Vtdy5roGgz1nsookZorUrwq/ePMm6RRWsWSgDG2JqUhSF9YsrWTWvjOe3n+KZd1r4u3/byq2r67h3U5MEd4UQQogrsPNQDw6byrLZshSiEEKIyUWCYNOYx2WnwXXuAd5EKsORtkEOnhzgvZMD/OL1E/z89RO4nRoL6kO5oFh1qWdSLKE4FE3yyzdPUFvuZfmc0mIXRwghrqmGSj9//OFltPdG+e3bJ3l++yle2tnOTSuq+cD6RkoDrmIXUUxj6YzOt545iNdtl4koYlpw2DXuub6JG5dX87PXjvPC9lO8vve0lW1bJ9m2QgghxCXSDYOdh7tZOrsUl0OGGoUQQkwucmaaoZx2jaWzSlk6ywwoRUaTNLcO8t7Jft472c+eo70ABH0OFjeFWdwUYlFjmJD/2mcddA/G+PrTexiMJvjz+1dMiqCcEEIUQ22Zl8/eu4QP3jCL373TwpY9HWzZ08HGpVXct2mWBMPEVfGbt05yqnuE//aRZfjckikjpo+Az8kf3LWIW1fX8eu3TvLMWyd5fnsrt6w0s22L0e4VQgghpqLj7cMMjiRZvaC82EURQgghziJBMAGA3+Ng7cIK1lpLHPUMxjjYMsB7J/vZe6yPt/Z3AlBd6skFxRbUh/C4ru4udKp7hK//aA/pjM7/eHAVc2oCV/X/CSHEVFAZ8vCZDyzi3utn8ezWVra828H+43381UPXURmWa9uIidPSGeE3b7WwcUkVq+bLoIaYnhoq/fzXDy+jozfKM2+38OKONl7e1cYNy6r5wIZGyoPuYhdRCCGEmNR2HOpGUxVWzCkrdlGEEEKIsyiGYRjFLsR49PWNoOtToqhFV17up6cnMmGvpxsGbd0jvHdygPda+jncOkgyraMqCrNq/CydVcryOaU0VvlRJzBL6/CpQf73T/bicmj890+spLbMO2GvLcS1MtH1UYhzaesZ4as/3I3dpvLIQ6uoDEkg7FykPl6aVFrny09uZySW4h/+03q5XpKYUJO5PnYPxnh2aytv7O1A12H94kru2tgobVExLU3muijETDNV66NhGDzy/71NbbmXP7t/RbGLI8SEmKr1UYjpKFsfVVWhtNR3Wa8hmWDiolRFoaHST0Oln/evbyCV1jneMcSBkwMcONHPr944wS/fOIHfY2fprDDLZpeyZFb4iq6n8O7RXv71F/sJl7j4i0+soCwgM3CFEOJ86sp9PPLgKr761G6++sPd/NVDq6iQQJi4Qr968wTtPVH+7P7lEgATM0pF0M2n71zAvdc38dy2Vl7d0847BzpZOruUpbPCLGoMUVPundDJXzNBPJmmdzDOUDRJOqOTzhhkdD1/39qmMzq6YeBy2HDaNVwODadDG3Pf5bDhdmg47Fqx35YQQsx4LV0R+objfPCGpmIXRQghhDgnCYKJS2a3qSxoCLGgIcRHbppNZDTJ/hP97Dvex77j/bx9oAsFmFVTwrLZl54l9tb+03z7mWYaKn382cdXUCIXJxdCiIuqq/DxPx5cxdee2s1jEggTV+h4xzC/faeFG5ZXs1yWtREzVMjv5IFb53H3xkZe2NHGtve62He8DwCf287CxhCLGkMsbAhSFfbM+OvWpjM6fUNxeoZi9A7mt71DMXoG44zEUhP+P91OjaDPad0cufshv/Uzv4PSEteM/26EEOJq2nmoB1VRWDVPls4WQggxOclyiNNQMVN2dd3gZGfECoj1caJjGAPGnSX2/PZTPP3SERY1hviTjyzD7ZQ4rZjaJIVeXGutXRG+9tRunA6NRx66jgq5lk2O1MfxSaUzfOk724knM/z9w+uv+vU/xcw0Vetj31Cc5tYBDraYt4FIAoCgz8HCxhBzawMEvA58bjs+jwO/247XbUNT1Sv6v+mMTiqtk0xlSFjbZErHwMhNNFMUUFDIxnsUxbzvsKm4HDZcDg27Tb3sgJBuGAxGEvQMxugdiue2vYMxeobiDEYSFPbWNFWhNOCiPOCiLOimLOCiPOgm4HVgt2nYNAWbpua2Wva+qqIokEhlSCQzxFMZ4knrfjJDIpUmkcwwmkgzNJJkcCTBYG6bIJ0Z22f0OG00VvlpqvLTVF1CU5WfsoAExrKmal0UYjqaivXRMAz+5ol3KA24+MsHVhW7OEJMmKlYH4WYrmQ5RDHpqKrC7JoSZteUcN8Ns4iMJjlwop+9F8kSU4CfvXacZ95uYfWCcv7o3iXYbVc2WCCEEDNRQ6U/lxH2tR/u4pGHrqNcAmHiEvz89ROc7hvlv39ihQTAhDhDacDFpmXVbFpWjWEYdA/GONgyQHPLAO+d6OedA13nfJ7XZbMCY3Y8Tju6YaDr5hKAGcMgk7EeW7dc0CttBrsyEzQZUFUUaznB7M0MjikKueUJM5l8GTK6Wba0rhONpcYEmBQg6HdSHnCxqDGUC3Jlt0GfE1W9/ECTw67hv8SEZsMwiMbTDEYSDIwk6BuK09o9wsnTwzy//VTuc/S6bGOCYnPrggS8svqEEEJcqvaeKF0DMe5Y11DsogghhBDnddGRjYGBAR555BFaW1txOBw0Njby5S9/mWAwyIMPPkgsFgOgvLycRx99lLq6uvO+1tatW/nMZz7D3/7t3/LJT35y4t6FmLT8HgcbllSxYUkVumFw8nQ+S6zwWmKVYQ9H24a4eWUNn7pjwRV1mIUQYqZrqPTzlw+s4p+f3s1Xf7iLv3roOsokECbG4WjbEM9tbeXmlTUsnVVa7OIIMakpikJlyENlyMMtK2sxDIPBkSSR0SQjsRQjsRSRUXM7MpoiEksSGU0RGU2iqgqadbOrKqpTzT3WNAVVVXDYNBx2Faddw2FTcdjNa2A5bObPzKwuMAzrhgEGmHEeA8Mws7dSaZ14MkM8mba22ayq/GMwM7ecdg3NaWZkmWXJl8vntlMWdFMedFEecBMucU26SWuKYpbT57ZTVzF2lmgqrdPeO8LJ0xFOdkY42TnMs1tbc4GxmjIvCxqCLGoIsaAheEXXNxZCiJlix6FuFOC6ebJ8thBCiMnrosshDg4OcujQIdavXw/AY489xtDQEF/5yleIRCL4/X4AnnzySbZv3843vvGNc77OyMgIf/AHf0A4HObGG2+85CCYLIc4flMlZTebJbbveB9H24fYuKSK+26YJUuTiGllqtRHMT21dEb456d343LY+KuHVs34QJjUxwtLpDJ86dvbSGcMvvzwOlmSWFxVUh/FZJBKZ2jtGuHQqUGaWwY40jZEImUGBevKvSxsCLGw0QyKeV32Ipf26pC6KMTkMRXr4xe+tRWvy85f/951xS6KEBNqKtZHIaara7IcYjAYzAXAAFauXMlTTz0FkAuAgRnkUi+w1v0//dM/8fDDD/Pqq69eVkHF9FOYJSaEEGLiNVb5+YsHVvLPT+3hq0/t5pGHVlEWmNmBMHF+P9tynK6BGP/jgZUSABNCzAh2m8ac2gBzagPctaGRdEbnZGeE5pYBmlsHeO3dDl7c2YYCNFWXsGJOKcvnltJQ6c9di00IIWaq031R2nuiPHjbvGIXRQghhLigSxrh0HWdp556is2bN+d+9tnPfpb33nuPUCjEt771rXM+b8uWLUQiEd7//vdfdhDscqN8M1V5uf/ifySEuCakPopiKi/38w9BD194/G3+/skdfPIDi7hzQxPaDF12Vurjue0/1suLO09x96ZZ3LS2sdjFETOE1EcxGVVXBdi40lziP5XOcLh1kL1He9l5sItfvnmCX7xxgpDfyZpFlaxZVMnK+eV4pniWmNRFISaPqVQfX363A4A7r59FqUy0E9PQVKqPQkx3V1ofL7ocYqFHH32Urq4uvvGNb4zJ+tJ1nccff5yuri6+9KUvjXnO8PAwn/zkJ/nOd75DaWkpf/3Xf83SpUtlOcSrSFJ2hZg8pD6KyaK9N8r3nzvEoVODNFT4+L075jOvLljsYl1TUh/PLZ5M88VvbwPg0T9ch8shWWDi6pP6KKai4WiSfcf72Husj/0n+okl0miqwvz6ICvmlLJqfjnlU2zpYamLQkweU60+funb23DYNf7mU6uLXRQhJtxUq49CTGfXZDnErMcee4yWlha++c1vnrXsoaqqfOxjH+OOO+44Kwh2+PBhenp6uP/++wEYGBjglVdeYXBwkD/5kz+5rEILIYQQ4tLUlnl55KFVbG/u5kcvH+V/fn8XG5dUcv/75hL0OYtdPFFEP3n1GD2Dcf7qoVUSABNCiAso8TrYtKyaTcuqSWd0jrYNsfdYH+8e6+Xpl4/y9MtHaazys25hBWsWVky5gJgQQoxX18Aord0jPLB5brGLIoQQQlzUuEY6vv71r7N//36eeOIJHA4HAP39/QCEw2EAnn32WRYsWHDWc9esWcPbb7+de3y5mWBCCCGEuDKKorBuUSUr5pTxm7dP8ty2VnYd6eWDm5q4fU09Nu381/YU09PBk/28vKud29bUsaAhVOziCCHElGHTVBY2hljYGOLjm+fSPRhj16Eetjd38eNXj/HjV4/RWOVnrRUQq5CAmBBiGtnR3A3A6gUVRS6JEEIIcXEXDYIdOXKExx9/nKamJh544AEA6urq+NznPsfnP/95UqkUALW1tXzta1/LPe++++7jiSeeoLKy8ioVXQghhBCXw+nQ+OjNc7hheTVPv3iEH79yjNffPc1Dt89j6azSYhdPXCOxRJpv/7aZypCbj948p9jFEUKIKa0i6Ob96xt4//oGegdj7DjUw/bmbn7y6jF+UhAQW7ewgjIJiAkhprgdh3qYXVNCacBV7KIIIYQQF3VJ1wQrJrkm2PjJurVCTB5SH8VUsPdYLz988QjdAzHm1gWor/BRHfZQVeqhOuwlVOJEVZRiF/OKSX0c68lnm3ltTwef/+Rq5tYFil0cMcNIfRQzRWFA7MTpYQDm1wW4flk1axZU4HEVdxlaqYtCTB5TpT72DMb4q2++zcffN5f3r28odnGEuCqmSn0UYia4ptcEE0IIIcT0tHxOGYsaw7yw4xQ7D3XzzoFOYolM7vcOm0pl2EN1qYeqsIfqUi+15V6qwh5ZQnGK2n+ijy17Onj/ugYJgAkhxFVUdkaG2NaDXby5r5Pv/q6Z7z9/mFXzyrh+aRVLZoXlnCqEmBJ2HMouhVhe5JIIIYQQ4yNBMCGEEEJgt6nctaGRuzY0YhgGw9Eknf2jnO4bzW1PnB5m+8FusnnZmqpQXeqlrsJLXbmPunJzG/I7UaZB5th0NRpP853fNlNd6uFDN84qdnGEEGLGKAu6uXtjE3dtaORkZ4S39nWy9WAX25u78XvsrF9cyaal1TRU+uQ8KoSYtHY099BY5adclnYVQggxRUgQTAghhBBjKIpCwOck4HOyoCE05nepdIbTfaO090Zp6xmhvSfK4VODvHOgK/c3bqeN+nIv9ZV+Gip9NFb6qSnzygz3SeLpl44wOJLgbz+1BoddK3ZxhBBixlEUhVnVJcyqLuETt85l3/E+3trfyau723lxRxu15V5uWl7DxqVV+Nz2YhdXCCFyeodinDg9zMdukevJCiGEmDokCCaEEEKIcbPbNBoq/TRU+sf8fDSeoq0nSnvPCG09UU71jPDG3tMkUuayijZNobbMR0Olj4ZKP41VfurLfTgdEoS5lt492ssb+05z98ZGZteUFLs4Qggx49k0lVXzylk1r5xoPMW2g928sbeDp146wo9fPcaaheXcvKKG+fVByQ4TQhTdrkM9gCyFKIQQYmqRIJgQQgghrpjHZWd+fZD59cHcz3TdoGtglNauEVq7IrR0Rdh9pJfX954GQFGgtszLrOoSZteYM+Jry71oqmSMXQ3ReIrvPttMbZmXD26SZRCFEGKy8brsvG9VLe9bVUtrV4Qt73bwzoFO3jnQRVXYw00rarh+WRUlHkexiyqEmKG2H+qmocJHZchT7KIIIYQQ4yZBMCGEEEJcFap1zbDqUi/rF1cCYBgG/cMJWrsinOyMcKJzmF2He3KBMYddpanSzywrKDa7uoTSgEtmv0+AH75whEg0xZ9+bDl2mwQahRBiMmuo9POpOxbw8ffNZUdzN1ve7eA/XjnKT7cc47r55dy8soZFjSE5Pwohrpn+4TjH2of58E2zi10UIYQQ4pJIEEwIIYQQ14yiKJQGXJQGXKyaby6jYhgGPYMxjp8e5njHMCdOD/PSznbSmVMABHwO5tUFmVcbYG5dgIZKn2SLXaLdh3t4+0An917fRFOVLIMohBBThdOusWlZNZuWVdPeG+W1PR28tf8025u7qS71sPm6Oq5fWoXbKV17IcTVtfOwuRTi2oUVRS6JEEIIcWmkpSyEEEKIolIUhYqQh4qQhw2LqwBIZ3Tae6Ic6xjiaPsQR04NsaO5GzCzxebUBJhbG2BeXYA5tQEZ/LuAaDzFk88dor7Cx72bmopdHCGEEJeptszLg7fN42O3zGZ7czcv7WznBy8c5qdbjrFpaTWbV9dSXeotdjGFENPUzuZu6sq9VIVlKUQhhBBTi4wYCSGEEGLSsWkqjVV+Gqv8bL6uDjCXYDnaPsSRtiGOtA3ym7dPYhjmtcUaKv0sagixsDHIvLqgBMUKPPNWC5Fokj+/fwU2TTLohBBiqrPbNK5fWs31S6s53jHMSzvb2PJuOy/tamNJU4jNq+tYMacMVZWlEoUQE2NwJMGRtiHuu0GuKyuEEGLqkREiIYQQQkwJ4RIX60pcrFtkXl8slkhzvGOYI22DNLcO8uLOUzy7rRVVUWiq9rOoMcTChhBz6wI47VqRS18cvYMxXtx5iuuXVtFY5S92cYQQQkyw2TUlzK5ZzCc2z+W1dzt4ZXc7/+en+ygtcbF5dS03rajB67IXu5hCiClu56EeDGC1LIUohBBiCpIgmBBCCCGmJLfTxpJZYZbMCgOQSGU42j5Ec8sAza0DPLu1lWfebkFTFWbXlLB2cRWzKn3Mqi6ZMbPjf/76cUCRC5gLIcQ0V+J1cM/1TXxgQwO7D/fy8q42fvzKMX71xkluWFbNbWvrqAzJEmZCiMuz81A3NWVeastkyVUhhBBTjwTBhBBCCDEtOO0aS5rCLGkyg2LxZJojbWZQ7GDLAE+9cAjDAK/LxqKmMEtnmbdwiavIJb86WjojvH2giw9saJi271EIIcRYmqqyZmEFaxZW0NoV4YXtp3h1Tzsv72pj5bwy7lzXwLy6AIoyMyaDCCGu3FA0yaFTg9x7fVOxiyKEEEJcFgmCCSGEEGJacjlsLJtdyrLZpQA43A5e33mK/Sf62H+inx3N3QDUlHnNgNjsMPPrgjimwdKJhmHwH68cxee2c/f/z959h0dVpm8c/05N7wktgYQaQEAQEAsCoiggiI0VFUEFVteCZS2wNkBEo4ioWECxwCKioksvKihiA5YmVUAgdAnpddr5/RHMT1akTnImyf25Lq6EyZlz7ok+zLzzzPu+F6SYHUdERExQr2YEg3o15/ouDVmyei9fr9nPmm2rSa4VwZXt69JOy5qJyClY/cthDAPaperfDBERqZzUBBMREZFqISo8iA7Na9KheU0Mw2Df4QI27Mxkw84jLFm9l8Ur9+CwW0mtG02L+rGc0yCOOnGhlfLT8ht3ZrJ5dxY3XdaY0GC93BMRqc6iw4O4rlNDrrowhR82HGTxyj1MmrOJT77eQZ9ODWnXOF7PFSLyl1Zt+Y2asaEkJmgpRBERqZz0SldERESqHYvFQlKNcJJqhNO9Qz1K3F62pmezYecRNu7M5KMl22HJdmIigo7OEoujeUoMYcEOs6OflM9XOgssITqYS89LNDuOiIgEiCCHjS5tEunUug4/7zjC4pV7eH/eJmYEld7erV1dosODzI4pIgEkt9DF1vRsel5Yr1J+MExERATUBBMREREhyGGjVcM4WjUsXToxI6eIjTszS5dN3HqYb9cfwGKBBrUjadkgjnMbxVOvZnhAvhnw/YaD7D1cwF19zsFus5odR0REAozVYuHcRvGc2yienBIv0xduZuFP6Xyxcg8Xt6xN9w71qBkTanZMEQkAa345jM8wtBSiiIhUaidtgmVlZfHoo4+Snp6O0+kkOTmZUaNGER0dzU033URRUREACQkJjBw5kqSkpD+dY+TIkfzwww84nU5CQ0N5/PHHadmypf8fjYiIiIgfxEeF0Ll1Ip1bJ+L1+fh1fy4bfi1tis1avpP/LN9JTEQQ5zaMo1WjeJonxwTEXmIut5fPv/2V+rUjaK+9XkRE5CQaJUVzV58WXNupkEU/pbP854MsW7eftqk16HlBPVJqRZodUURMtGrrYWpEh1C3RrjZUURERM6YxTAM40QHZGdns3XrVjp06ABAWloaOTk5jBkzhry8PCIiIgD44IMPWLlyJRMmTPjTOZYuXUrHjh1xOBwsXbqUZ599li+//PK0gh45ko/Pd8KoclRCQgSHD+eZHUNEUD2KBBJ/1WNugYv1O46wbnsGG3ZlUuLy4rRbaZ4Sy7mN4mjVMJ6YCHOWk5r3wy5mfvMrj93chtR6MaZkEDkVen4UCQz/W4s5+SV8sWovS9fspajEyzkpMfS8IJmmyTEBOftZpCoJtOfG/CI3D7y6nCs71KVvl0ZmxxGpUIFWjyLV2e/1aLVaiIs7sw9lnHQmWHR0dFkDDKB169ZMnz4doKwBBpCfn4/Vevwldy699NJj7n/w4EF8Pt9fHi8iIiISqCLDnHRsVZuOrWrj9vjYuieLdduOsHZ7Bmu3ZwBbSa4VQetG8bSuwGUT8wpdzP9xN60bxasBJiIiZyQqPIgbujSk5wXJfL12H1+s3MOLH62lfu0Iel6QTJvGCVitaoaJVAdrtpUuhajVBUREpLI7rT3BfD4f06dPp2vXrmW3DRkyhE2bNhETE8PkyZNPeo5p06bRpUsXNcBERESk0nPYrbSoH0eL+nHc3K0x+zIKWHe0GTZ7+U5mLd9JdLizbO+V8lw2cc53uyh2ebm+S8NyOb+IiFQfocF2el6QTFbmYhIAACAASURBVLd2SXy34SALf0zn9c83UDM2lB4d6nHhObVw2DWmF6nKVm05THxUMMk1I05+sIiISAA76XKIfzRy5EgOHTrEhAkTjmli+Xw+Jk6cyKFDhxgxYsRf3n/evHm8+uqrTJs2jfj4+LMKLiIiIhLIcvJLWLX5ECs2HWTN1t8oKvHidNg4t3E85zevRYdzahETGeyXa+3PyOfutCVcfn497u3b2i/nFBER+Z3XZ/D9+v3MXLqNHXtziI0Mpk+nhnS/MJnQYIfZ8UTEz/ILXdw6YiG9OjZg0NUtzI4jIiJyVk65CZaWlsbWrVt56623cDqdf/r54cOHueKKK1izZs1x7//FF1+QlpbG+++/T1JS0mkH1Z5gp07r1ooEDtWjSOAwsx7dHh+/7Mlm7fYM1m3PICOnGIfdyoArU7m4Ze2zPv+b/9nAuh0ZPH/nhUSHm7Mfmcjp0POjSGA43Vo0DINNu7KY/+NuNu/OIjTITte2iVzeti6RYX9+n0BETl0gPTcuW7ef9xds4cmB7ahfO9LsOCIVLpDqUaS6q5A9wQDGjRvHhg0bmDRpUlkDLDMzE4DY2FgAFi5cSGpq6nHvv3TpUp577jnee++9M2qAiYiIiFRmDruVc+rHck79WG6+vHTZxA+/+IXJ8zbz6/5c+l3W+IyXldqxP4eVW37j6otT1AATEZFyZbFYyp7Pdh7IZf6Pu5n3/W4WrdhDzwuSuerCZOw2LZMoUtn9tOkQNWJCSKmlpRBFRKTyO2kTbNu2bUycOJGUlBT69esHQFJSEkOHDmX48OG43W4AEhMTefHFF8vu16dPHyZNmkTNmjUZPnw4DoeDoUOHlv38/fffJyZGm7aLiIhI9WKxWEhKCOef/Vrz2Te/suCndHYfyuPua1oQe5rLIxqGwSdLdxAZ6uDK8+uVU2IREZE/q187knuubcmBIwXMOroP5n+3/sbtPZtp5ohIJZaTX8KW9CyuujAFi8VidhwREZGzdlp7gplJyyGeOk3ZFQkcqkeRwBGo9bhqy2+8O38zdpuVu/qcQ/OU2JPex2cYrN9+hEUr0tm6J5tbr0zl0jaJFZBWxD8CtR5Fqht/1uLabRlMWbSFnAIXV55fj2s61sfpsPnl3CLVQaA8N365ag8ffrmNZwZ3IDE+zOw4IqYIlHoUkQpcDlFEREREyke7pjVITAjj9c838NKMtVzfuSE9OtQ77idvS9xevt9wkMUr93Aos5CYiCBu7NqIzufWMSG5iIjI/2vdOJ4mdTvw8dLtLPwpnTW/HOb2ns1oUjfa7Ggichp+2nyIpIRwNcBERKTKUBNMRERExGS148J4YkBb3l+whU+/3sGv+3O5o2czQoNLX6rl5Jfw1ep9fL1mH/lFbpJrRfD3q5vTLrWG9l4REZGAERrs4LYezTi/WU3eX7CF56et5tLzErmhc0NCgvT2g0igy8guYse+XK7v3MDsKCIiIn6jV6EiIiIiASDYaefOq8+hQZ0oPl6ynWc+WMmNXRuzetthftx4EK/X4NxG8Vx5fl2a1I3WHg0iIhKwmqfE8sygDsxctoOvVu1l/fYMBnZvSosGcWZHE5ETWLHlNwDOb1bT5CQiIiL+oyaYiIiISICwWCxc0b4uKbUiePM/G3h15nqcdiuXtKpDt/Z1qRUbanZEERGRUxLktHHz5U04v2lN3luwmXEfr6PTuXW46bLGBDm1V5hIIPpp0yEa1okkITrE7CgiIiJ+oyaYiIiISIBpUjeap29vz7rtGbRNrUF4iMPsSCIiImekUVIUI25vz3++3cnCn9L5ZU82d159Dsm1IsyOJiJ/sD+jgD2/5XPTZY3NjiIiIuJX2kRCREREJABFhwfRuXWiGmAiIlLpOew2+l7aiIf7tabY5WH0lFUsWpGOzzDMjiYiR63YfAiLBdo3q2F2FBEREb9SE0xEREREREREyl2zlFhGDepAq4ZxzFiynZc/Xkd2fonZsUSqPcMw+GnTIZrWiyE6PMjsOCIiIn6lJpiIiIiIiIiIVIjwEAf3XteSAd1T2bYnm6cmr2Dt9gyzY4lUa7sP5XEoq4gOzWuaHUVERMTvtCeYiIiIiIiIiFQYi8VCl9aJNEmKZuLsjbz66XouOy+Jvpc2xOmwmR2vUnN7fGzbm01+kRunw0aQ3YrTaSPIbsPpsOJ02HAe/d5u0+eipdSKTb9hs1o4r0mC2VFERET8Tk0wEREREREREalwdeLDeGJAWz79+le+WLWHLXuyGNi9KQ3rRGKxWMyOV2nkFrr4eccR1m7PYMPOTEpc3lO6X+24ULq1r8tF59RS87Ea8xkGP20+RIv6sdqLVkREqiQ1wURERERERETEFA67jZsub0yLBrFMnruJMVP/S3KtCLqel0iHZjXVnDkOwzDYl1HAuu0ZrNt+hB37cjCA6HAnFzSvybmN4kmICsbl8eFyeylxl351eby4jn5f7Pay5pcMpizcyufLfuWy85K49LxEIkKdZj88qWDb9+aQlVdC3y4NzY4iIiJSLtQEExERERERERFTtWwQx3N3XsgPGw+yZPU+3pu/hY+XbKdjq9p0aZNIzZhQsyOaqrDYzZb0bDbvymLdjgwycooBSK4ZQe+LU2jdOJ7kmhGnNYOu90UpbE3PZuGKdP6zfCfzf9zNxS1rc0X7utSMrd6/7+rkp82HcNqttG4cb3YUERGRcqEmmIiIiIiIiIiYLiTITtfzkri0TSK/7Mnmq9X7+HLVXhat2EOLBrF0bZNEq4ZxWK1Vf6lEl9vL9n05bN6dxaZdWew6mIthgNNupWlyDD0vSObcRvHERASd8TUsFgtNk2NomhzD/owCFq9M59v1+/l6zT7aNEmg+/n1aJQU5cdHJYHG6/OxastvnNsonmCn3iIUEZGqSc9wIiIiIiIiIhIwLBYLqfViSK0XQ1ZeCcvW7eebtft4deZ64iKDaZuaQM3YUGrGhFAzJpSYyCCslXgPMcMwyC1wcSiriF/2ZLN5dxbb9ubg8fqwWS3UrxNJ74tSaJYcQ4M6UTjsVr9nqBMfxm09mnHtJQ34avU+lq7ey+pfDpMYH0b9OpGk1IogpVYkdWuE4bBricqqYvOuLPIK3XRoXtPsKCIiIuVGTTARERERERERCUgxEUH06Vifqy5MZu22DJau2cfSNftwe3xlxzjsVmpEh1DjaFOsRmwI0eFB2K0WrFYLtqNfy763lH61WCwYhoHP4OhXA5/vj98bAEfvZz3mPP977pO14Lw+g6y8EjJyisnIKeJITvHR74s5klt8zOOpWyOcrucl0jwlhsZJ0YQEVdxbN1HhQVzXqQFXXZDM8p8PsG57Bmu3ZbB8/QEAbFYLdeLDjjbFIkiuFUl8VDD5RW5yC1zkFrr+8LX0trxCF/nFHrxeHz7DwOsr/d36fMYxfzcMsNutBNmtOOw2nA4rTocNp/3/vwY5bISFOIgMdRAR5iQytPRPRKiDiFAnIUG201oSsrr7afMhQoLstGwQZ3YUERGRcqMmmIiIiIiIiIgENLvNSrumNWjXtAY+wyA7r4RDmYUcyiriUFYhhzKLOJhZyM+/HsHjNcyOe1LhIQ7io4JJSgijdaN44qKCiY8Kpn6dSCJDnWbHI8hp47K2SVzWNgnDMDiSW8zug3nsOvpnzbYMvj3aGDseiwUijjaoIsMcxEUF/6GRCFarFZvlfxqJFnB7fLg8Plxub+mfo98Xl3jIyS/9Pq/ITVGJ57jXtdssRIQ6iY0MIiEqhPjoEBKigsu+xkQGYbP6fyZdZeT2eFn9y2HOa5JQLrMLRUREAoWaYCIiIiIiIiJSaVgtFmIjg4mNDKZZyrE/8/kMMvOKyS1wl83m+n2m0f9/9eE9OvPo91lcvzdhrBbLMd9bAO9xzvO/35+MxQIx4UHERwUTFxVcqfZfslgsxEeFEB8VQtvUGgBljbFdB/LIyi8hItRBVKizdHZWmJPwEEe5LlHp9vjKZp/lFf7/zLO8Ihe5+S6O5BazbW8OP20+hPGH/zw2q4WYiCASokOoFRdKYnwYifFh1IkPIyIAmo8Vaf2OTIpKvFoKUUREqryTvurKysri0UcfJT09HafTSXJyMqNGjSI6OpqbbrqJoqIiABISEhg5ciRJSUl/OkdRURHDhw9n48aN2Gw2HnvsMS699FL/PxoRERERERERqbas1v9v2Ej5+WNjzAwOu5WYiCBiIoJOeJzH6yMzr4SM7CIycoo5fPTrb1lF/LjxIEUl3rJjI8OcZQ2x37/WrRFeoctRVqSfNh8iItRBs+QYs6OIiIiUq5M+k1ssFgYPHkyHDh0ASEtLY+zYsYwZM4Z33nmHiIgIAD744AOef/55JkyY8KdzTJ48mfDwcL744gt27drFLbfcwuLFiwkLC/PzwxERERERERERESldRrNGdAg1ov/crDOM0n3a9mUUsO9wAfszCtiXUcDy9QcocZc2xyxArbhQUmpFUr92BPVrR1KvZjgOu62CH4l/FZV4WL89g4tb1dbykCIiUuWdtAkWHR1d1gADaN26NdOnTwcoa4AB5OfnY/2LJ84FCxbw/PPPA5CSkkKLFi1YtmwZPXr0OKvwIiIiIiIiIiIip8vyh2U1WzaIK7vdZxhk5hSzN6OA9IN57DyQy8Zdmfyw8SBQuqRiYkIY9WtHUr92JA3qRFInPqxcl3/0t7XbM3B5fHRopqUQRUSk6jutOd0+n4/p06fTtWvXstuGDBnCpk2biImJYfLkyce93/79+0lMTCz7e+3atTl48OBpBY2LCz+t46u7hISIkx8kIhVC9SgSOFSPIoFD9SgSGFSLIn9Ws0YkzRr//98NwyAju5hte7LYtiebbXuyWLXlN75Zux+A8BAHzerHck79OJrXj6NR3agzmi1WUfW4ZvtG4qNDuLB1ElZr5WneiVQkPT+KBI6zrcfTaoI988wzhIaG0r9//7Lb3n77bXw+HxMnTuTNN99kxIgRZxXorxw5ko/vFDabldL/KQ4fzjM7hoigehQJJKpHkcChehQJDKpFkdPTuHYEjWtHwPl18RkGv2UVsWNfDr/syWbb3hxWbjoElO5ZVr92JI2TomhSN5pGiVEn3VusourxcHYRa7b+Rrd2dTlyJL/crydSGen5USRw/F6PVqvljCdKnXITLC0tjd27d/PWW2/9adlDq9XKDTfcwBVXXHHcJlidOnXYt28fsbGxABw4cOCYJRZFREREREREREQqC6vFQq3YUGrFhnJxy9oA5Ba42LY3h217S5tiC35MZ94Pu7FaLNSvE0Hz5Fiap8TQMDEKu63i9+LKyS/hpRlrCXLY6NKmToVfX0RExAyn1AQbN24cGzZsYNKkSTidTgAyMzMByhpbCxcuJDU19bj37969OzNmzKBly5bs2rWLn3/+mZdeeskf+UVEREREREREREwXGeakbWoCbVMTAChxedmxP4ct6dls3pXJ3B92Mef7XTgdVlLrxtA8JYbmKbEkJoSVe7aCYjcvzVhLTr6Lh/u1pkZMaLlfU0REJBCctAm2bds2Jk6cSEpKCv369QMgKSmJoUOHMnz4cNxuNwCJiYm8+OKLZffr06cPkyZNombNmgwaNIhhw4bRrVs3rFYro0aNIjxce3yJiIiIiIiIiEjVFOS00TwlluYpsdCpAYXFHramZ7FpVxabdmcyY8kRACJDHbROrUHDWhE0T4klLirYrzmKXR7Gf7yOg5mF3N/3XBomRvn1/CIiIoHMYhhGpdhoS3uCnTqtWysSOFSPIoFD9SgSOFSPIoFBtShirszcYjbvzmLTrky2pGeTlVcCQM2YkKPNsxiaJscQFuw442u4PT7Gf7KOrenZ/OOaFmWz1ETkr+n5USRwVOieYCIiIiIiIiIiIuIfsZHBXNyyNhe3rE18fDjrNh8snSW2K5PvNx5k6Zp9WCyQcnSGWIv6sTSpG43FYjml83t9PibO3sjm3VkMuqqZGmAiIlItqQkmIiIiIiIiIiJiIovFQmJCOIkJ4XRrXxeP18fOA7llTbGFP6Uz74fdJCWE0aNDMu2b1cBus/7l+XyGwfvzt7D6l8PcdHljLm5ZuwIfjYiISOBQE0xERERERERERCSA2G1WGidF0zgpmj4d61NU4uG/Ww+zcEU6b8/dxMxlO7iifT06nVubYOexb+8ZhsFHX27juw0HueaS+nRrV9ekRyEiImI+NcFEREREREREREQCWEiQnY6tanNRy1r8vOMIC35K56OvtjHnu51cel4Sl7dNIjLMCcCs5Tv58r97uaJ9XXpflGJucBEREZOpCSYiIiIiIiIiIlIJWC0Wzm0Uz7mN4tmxL6d0mcTvd7FoRToXt6xNZKiD2d/t4pJWtbmxa6NT3j9MRESkqlITTEREREREREREpJJpmBjFPde15GBmIYtWpLN8/QE8Xh/tmtZgYPemaoCJiIigJpiIiIiIiIiIiEilVSs2lIHdm3JNx/ps2pVF+2Y1sFrVABMREQE1wURERERERERERCq9qPAgLmxRy+wYIiIiAcVqdgARERERERERERERERERf1MTTERERERERERERERERKocNcFERERERERERERERESkylETTERERERERERERERERKocu9kBTpXVajE7QqWi35dI4FA9igQO1aNI4FA9igQG1aJI4FA9igQO1aNI4LBaLWdVkxbDMAw/5hERERERERERERERERExnZZDFBERERERERERERERkSpHTTARERERERERERERERGpctQEExERERERERERERERkSpHTTARERERERERERERERGpctQEExERERERERERERERkSpHTTARERERERERERERERGpctQEExERERERERERERERkSpHTTARERERERERERERERGpctQEExERERERERERERERkSrHbnYA8Z+dO3cybNgwsrOziY6OJi0tjZSUFLNjiVQLWVlZPProo6Snp+N0OklOTmbUqFHExsaSmppKkyZNsFpLP3fwwgsvkJqaanJikaqta9euOJ1OgoKCAHj44Ye55JJLWLt2LU899RQlJSUkJiby4osvEhcXZ3Jakapr79693HPPPWV/z8vLIz8/nxUrVvxlnYqIf6SlpbFo0SL27dvHnDlzaNKkCXDicaPGlCLl43j1eKIxJKBxpEg5+avnxxO9NtU4UqR8HK8eTzSGhBPX6l+xGIZhlN/DkIo0YMAArr/+evr06cOsWbOYOXMmU6ZMMTuWSLWQnZ3N1q1b6dChA1D6j3hOTg5jxowhNTWV1atXExYWZnJKkeqja9euvPXWW2UDGgCfz8eVV17Jc889R7t27XjjjTfYs2cPzz33nIlJRaqXZ599Fq/Xy1NPPXXcOhUR/1m1ahWJiYnccsstx9TaicaNGlOKlI/j1eOJxpCAxpEi5eSvnh//6rWpxpEi5eev6vGP/jiGhL+u1RPRcohVxJEjR9i0aRO9evUCoFevXmzatInMzEyTk4lUD9HR0WWDF4DWrVuzf/9+ExOJyP/asGEDQUFBtGvXDoB+/fqxcOFCk1OJVB8ul4s5c+Zw/fXXmx1FpFpo164dtWvXPua2E40bNaYUKT/Hq0eNIUXMcbx6PBGNI0XKz8nq0V9jSC2HWEUcOHCAmjVrYrPZALDZbNSoUYMDBw6UTaUXkYrh8/mYPn06Xbt2Lbvt1ltvxev10qlTJ+677z6cTqeJCUWqh4cffhjDMGjbti0PPfQQBw4coE6dOmU/j42NxefzlS35JCLla8mSJdSsWZNzzjmn7Lb/rdPIyEgTE4pUfScaNxqGoTGliEmON4YEjSNFKtrxXptqHClinuONIeH0x5GaCSYi4mfPPPMMoaGh9O/fH4Cvv/6azz77jGnTprF9+3Zef/11kxOKVH3Tpk1j9uzZzJw5E8MwGDVqlNmRRKq9mTNnHvMJPtWpiIhIqf8dQ4LGkSIVTa9NRQLP/44h4cxqVU2wKqJ27docOnQIr9cLgNfr5bfffjut6b0icvbS0tLYvXs348ePL9vA+Pc6DA8Pp2/fvqxevdrMiCLVwu9153Q6ufnmm1m9ejW1a9c+ZomZzMxMrFarPr0nUgEOHTrEypUr6d27d9ltx6tTESlfJxo3akwpYo7jjSFB40iRivZXr001jhQxx/HGkHBm40g1waqIuLg4mjVrxty5cwGYO3cuzZo107IVIhVo3LhxbNiwgddff71smYqcnByKi4sB8Hg8LFq0iGbNmpkZU6TKKywsJC8vDwDDMJg/fz7NmjWjRYsWFBcXs2rVKgA++ugjunfvbmZUkWrj888/p3PnzsTExAB/XaciUr5ONG7UmFKk4h1vDAkaR4pUtBO9NtU4UsQc/zuGhDMfR1oMwzDKLalUqB07djBs2DByc3OJjIwkLS2NBg0amB1LpFrYtm0bvXr1IiUlheDgYACSkpIYPHgwTz31FBaLBY/HQ5s2bfjXv/5FWFiYyYlFqq49e/Zw33334fV68fl8NGzYkCeeeIIaNWqwevVqnn76aUpKSkhMTOTFF18kPj7e7MgiVd6VV17J448/TqdOnYAT16mI+Mfo0aNZvHgxGRkZxMTEEB0dzbx58044btSYUqR8HK8ex48ff9wx5Ouvv86aNWs0jhQpJ8erx7feeuuEr001jhQpH3/1ehX+PIaEMx9HqgkmIiIiIiIiIiIiIiIiVY6WQxQREREREREREREREZEqR00wERERERERERERERERqXLUBBMREREREREREREREZEqR00wERERERERERERERERqXLUBBMREREREREREREREZEqR00wERERERERERERERERqXLUBBMREREREREREREREZEqR00wERERERERERERERERqXLUBBMREREREREREREREZEqR00wERERERERERERERERqXLUBBMREREREREREREREZEqR00wERERERERERERERERqXLsZgc4VVlZBfh8htkxKoW4uHCOHMk3O4aIoHoUCSSqR5HAoXoUCQyqRZHAoXoUCRyqR5HA8Xs9Wq0WYmLCzugclaYJ5vMZaoKdBv2uRAKH6lEkcKgeRQKH6lEkMKgWRQKH6lEkcKgeRQLH2dajlkMUERERERERERERERGRKkdNMBEREREREREREREREaly1AQTERERERERERERERGRKqfS7AkmIiIiIiIiIiIiYjqXC/u6NXjOaQmhoWanEZFKyuv1kJV1GI/HZXaUgGG12ggJCSc8PAqLxeKXc6oJJiIiIiIiIiIiInIStq1bCJ42heBPP8KakYG3Rk0KH3yY4v63QVCQ2fFEpJLJyjpMcHAoYWG1/NbwqcwMw8Dr9ZCXl01W1mFiY2v45bxaDlFERERERERERETkOCz5eQT/+wOie1xG7CXnE/LOW7g7XETuK2/gbdiIiOGPEHtBG4L//QG43WbHFZFKxONxERYWqQbYURaLBbvdQXR0HC5Xsd/Oq5lgIiIiIiIiIiIiIr8zDOwrfiL4wykEz/ocS2EBniap5I94luK+/TASEgAo6XcLjmVfE/bcKCIeuo/QV8dR8MhwSq7rCzabyQ9CpAoxDCxZmdjSd2NN341t925s6buxpe/Cmr4ba24uJd2voviWW/G0aQuVqKmkBtifWSxWwPDb+fzaBMvKyuLRRx8lPT0dp9NJcnIyo0aNIjY2tuyY4cOH89lnn7F69WrCwsL8eXkRERERERERERGRU1NSgm3fHqxlb6iXvsFu/3kd9l934AsLp/ja6ym++VY87c7/8xvrFgvuzpeS3akLzi8WEvbcaCLv+TueV16i4LHHcV11NVi1EJfInxgGIe+8RdBnn3KyZoelsAjrnnSs+XnH3O6LicFbLwVv8xZ4bFaCP/2IkKnv4Wl2DsW33ErxDTdixMaV44OQysKvTTCLxcLgwYPp0KEDAGlpaYwdO5YxY8YAsGTJEnU2RUREREREREREpMLZNm8i5K0J2Hb+WtrwOrAfi/H/b8AbDgfepLp4GzSkaOhDFF99LYSHn/zEFguuK3rguvxKnHNnEfbCGKIGDcDdohWFwx7H1a17pZqZIlKeLHm5RNx/D0FzZ+E+tw3GHybQHI8vPgH3RReXNrzqJeNNTsFXrx5GZNQxx+Xn5hD0+UyCP5xC+BPDCBv1FCU9elF88624O1+qhvRJDBkyELfbjcfjZs+edOrXbwhAkyap/OtfT/PDD9/xyCP38+yzL9K586Vl93v22REsWDCXKVNm0KBB6X3279/HjTdeQ+fOlzJ69AscOLCffv2uLTun2+3immtuoG/ffhXy2PzaBIuOji5rgAG0bt2a6dOnA6WzxCZMmMAHH3zAzJkz/XlZERERERERERERkb8U9OkMIh6+H8PuwNP8HNwdO5W+oV4vGV9y6Zvrvlq1z24ZQ6sV19XX4rrqaoI++6S0Gdb/Rtxt21Ew7EncnbqoGSbVmm3LZiJvvwXbrp3kPz2aorvv81tNGJFRFA+8g+KBd2DbuKF0OdNPZxA86zO8SXUpvvlWCu99AIKD/XK9qubttz8A4MCB/QwefCvvv//hMT+fN282bdu2Z9682cc0wQCaNGnKwoVzufvu+wFYsGAujRunHnNMeHh42TmzsrL429+upmvXy4mLiy+vh1Sm3PYE8/l8TJ8+na5duwIwatQohg4dSkRExBmdLy7uFD51IWUSEs7s9ywi/qd6FAkcqkeRwKF6FAkMqkWRwKF6LCclJfDQQ/DGG3DJJVhmzMBZu3b5X/fuITDkNnj/fRyjRhHdtw907gyjR0PHjuV/fTkrqsdy8OGHMGQIRETAV18R3rkz5faOf5cLS/+8+jLMmoVt8mTCXhhD2G/74d13A6YZ/dtvVuz2wJqhZrNZAcsxuXJyslm9eiXTp8/kpptuICcns6x5ZbFYuPzybsyZM4t77hmK1Wrlq68W06fPdWzYsB673fqnc7pcRTgcDsLCQv7y8Vut1rI6PNt6XVLgHgAAIABJREFULLcm2DPPPENoaCj9+/dn/vz5OBwOunTpcsbnO3IkH5/Pf5uhVWUJCREcPpx38gNFpNypHkUCh+pRJHCoHkUCg2pRJHCoHsuHdd9eIgcPwPHfVRTePZSCx58GuwMq8nd9TT/ofg3B/36fsJfHYr3kElxdL6dg2BN4Wp9XcTnklKke/czlIvzpfxEyeRLuDheS+84H+GrWqrg67NoTuvYk9PnRhI17gbyW51F8620Vc+2T8Pl8eDw+AIJmfEjw9H+Xy3WKb+pPyY03n9KxXq8PMMpyAcybN48LL+xIVFQMnTtfypw5s+nf/zYADMMgKCiYc85pyffff09QUBD16zcgIiISwyg9j9frIz8/j/79++H1eti7dw//+Md9BAeHHXOdP/L5fBw+nFdWj1ar5YwnSpVLmzEtLY3du3czfvx4rFYrK1as4Mcff6Rr165lM8N69erF9u3by+PyIiIiIiIiIiIiUo05vl5CzGUdsW3dSs7kqRSMGA0OhzlhgoMpHnwXR1auJ/+pZ7CvXU3MFV2IHHgztk0bzckkUgGs+/YS3acHIZMnUfiP+8j+bG5pA8wEhY8Mx9WlK+HDH8a+drUpGSqr+fPn0LNnbwB69OjF/Plz/nRMz569WbhwLvPnz6FHj95/+vnvyyFOnfoxn3wym48/ns6WLZvKPTuUw0ywcePGsWHDBiZNmoTT6QRgxIgRjBgxouyY1NRU5s6dS1hYmL8vLyIiIiIiIiIiItWVz0fo+LGEpj2Lt2kzct+dirdhY7NTlQoNpeje+ykeeDshk94k5I3XiFk4j4Lf90YSqUIcy74m8s7bocRFzuQpuHpfY24gm43cNycT060TkYMGkPXFNxixceZm+oOSG28+5dlaFWnLls3s3LmD554bVXZbRsZh1q9fS6tWrctua9OmLS+99Dxut5thw55k8eIFf3nO+PgEmjdvwerVq2jatHm55gc/N8G2bdvGxIkTSUlJoV+/fgAkJSXx+uuv+/MyIiIiIiIiIiIiIsewZGcRcc/fCfpiEcXX/428sa9AAH4I34iIpPCfj1F0xxAi7r+bsGdH4Op6Od6mzcyOJnJihkHIhFdwLlt64uO8XhzfL8fbJJXcd/+Nt1FgNKKNuDhyJ08huveVRN49hJxpn4DNZnasgDZv3mxuuWUgf//73WW3TZ36HvPmzT6mCWaxWLjvvofweNzY7SduOxUWFrB162a6dbuy3HL/kV+bYI0bN2br1q0nPe5UjhERERERERERERE5FbaNG4gaeBPWA/vJSxtH8W2DwGIxO9YJGTGx5I2bQOwl7Yl48F6y5y7WG/IS0ELefpPwZ57C06w5RtiJ92cqHnA7+U+PDrhGtKdNW/KffYGIRx4gdNwLFD4y3OxIAaukpIQvv1zEm29OPub2bt26M3BgPx544JFjbr/ggov+8lz5+fncdlvpTDeXq4TLLruCSy7p4vfMx2MxDMOokCudpSNH8vH5KkVU02nzRpHAoXoUCRyqR5HAoXoUCQyqxarHkpON46cfsBw5ctJjPS1a4W3ZqgJSyalQPZ4dx/JlRA68GSM8nNx3p+Jp297sSKclaObHRP5jMPmjn6foD7MtxByqx+NzLphH5G034+rRi9x3p4LVanakM2cYRNx3F0GffETO9E9xd+1mSoyDB3dTq1ayKdcOdL//bn6vR6vVQlzciRuvf8Xve4KJiIiIiIiIiEgFKCzEseJHnMuX4fj2a+zr1mLx+U7probFQtGQuygY9iSEn9mbSiKBwDn7cyLvHoK3fgNyZnyOr06i2ZFOW8l1fSmZ+TFhY0ZR0v0qfPX0prgEFvva1UT+YxCeNueR+8bblbsBBmCxkPfCy9g3/EzkPwaT9cUy1V0VpiaYiIiIiIiIiEhl4HLhWL0Kx7ff4Fi+DMeqFVjcbgy7HU/b9hQ++Ajujp3wnuyNPI+H0ImvEzrpTYIWzCNv7Cu4L72sYh6DiB8FT55E+L8ewdO+AzlTP8KIiTU70pmxWMh/cTwxHc8n4p9Dyfn4PwG/lKNUH9Y96UT2vxFfXDw5U2ZAaKjZkfwjNJScd6cSc0UXIgcNIHvOIggONjuVlAM1wUREREREREREApVhYF+/luBpUwj67FOsuTkYFguec1tTdOc9uDp2wn3+Bac9myv/+ZcovuYGIh66l+gbr6X4bzeRP2oMRmxcOT0QET8yDEKff4awl8dS0r0nuRPfg5AQs1OdFV9iEgVPjiRi2D8JmvEhJf1uMTuSCJbcHKJu6YuluJjsmXMwatQwO5Jf+Ro0JO+1t4gaeBPhjz9G/kuvmB1JyoGaYCIiIiIiIiIiAcaSlUnQzI8JmTYV+8afMYKDKenVh5JefXBfdDFGdMxZX8NzwYVkLfmO0JdfIPS18TiXfEn+mBco6XOdZqFI4PJ4CH/4fkI+nEpR/4Hkv/Ay2KvGW5zFtw0i+PNPCX9qOK6u3apcw0EqGbebyEEDsG3fRs5Hn+FNbWp2onLh6nEVhUMfIvTVcbjbn1/hDWjDMLDoOfcYhuED/Pc7qeSLd4qIiIiIiIiIVBE+H45vlhJx5+3EtUol4l+PYtjt5KWN48jPv5D3xtu4evbySwOsTHAwhcOfImvxN3iTkoj8++1EDuiHdf8+/11DxF8KC4m8/RZCPpxKwUOPkv/Sq1WmAQaA1UreyxOwFBUR/q9HzE4j1ZlhEP7YQzi/WUreS6/i7tTF7ETlqmDYE7gu6UzEow9i27Sxwq5rtzspKMjFMIwKu2YgMwwDj8dNdnYGTqf/lqasQs8SIiIiIiIiIiKVkMtFyJuvETL1fWzpu/FFR1N0620U3zwAb4uWFRLB26Il2fO/ImTSm4SljSbmkg7kP5umJdkkYFgyjxDV/0bs/11JXto4im8fbHakcuFt1JjCfz5G2JhRlMzvi6tnL7MjSTUU8tp4Qv79AQUPPkzJTf3NjlP+7HZy33qX2E7nE/7kMHI+nV0hM6JjYhLIyjpMfn52uV+rsrBabYSEhBMeHuW3c6oJJiIiIiIiIiJiEuv+fUQOHohj1Qpcl3Sh4F9PUdKzNwT77xPQp8xup+ju+yjpcRURD95LxP1346tRA3fXbhWfReQPrPv2EnXjtdh27ST3nSm4evcxO1K5KrznfoJmfU74Yw+RdXFHjKhosyNJNRI06zPCRz9N8bXXU/jYE2bHqTBGQgIFDw8jYvgjOL9ajOvyK8v9mjabnfj42uV+nepOyyGKiIiIiIiIiJjAsexrYi6/BNvmTeS+/T45M2dTcl1fcxpgf+Cr34CcDz/F27Q5kf8YjHVPuql5pJorKCDq5r5YDxwgZ8bnVb4BBoDDQd74CVgP/0bYqKfMTiPViH3lT0Tceyfu8y8g75U3wVq92gfFA+7A06AhYSOfBI/H7DjiJ9Xr/2IREREREREREbP5fIS88hJRf7sGX2wc2YuWUtLnOrNTHSs0lNz3poLHS+SgW6G42OxEUh0ZBhGPPIBtS2mj2H3xJWYnqjCec9tQdPdQQqa+j2P5MrPjSDVg3fkrUQP64a2TSM4H003/QIYpHA4KnhyFfesWgj+canYa8RM1wUREREREREREKoglJ5vIgTcR/uxISvpcS9bCpXibpJod67i8DRqR99pbONauIfyJYWbHkWoo+P3JBH86g8JHhuPuernZcSpcwSPD8dRvQMRD90FhodlxpAqzZGUSdUtf8PnInf4pRlyc2ZFM4+rZC3eHCwlLexZLfp7ZccQP1AQTEREREREREakAtp/XE3N5J5xffUHemBfIe+tdCA83O9YJuXr2ovC+BwmZ8i5BH00zO45UI/bVqwh/4jFKLutG4UOPmh3HHCEh5I97DduunYS9MMbsNFJVlZQQeXt/bOm7yf1gOt4GjcxOZC6LhfwRo7Ee/o2Q1181O434gZpgIiIifmbJyCDsmaexbd9mdhQRERERCRBBH00j5qrLweUie9YCigffBRaL2bFOScHwJ3F17ETEow9i2/Cz2XGkGrAcOULkoAH4atch7423q92+RH/kvvgSim69nZC3JmBfu9rsOFLVGAYRD92H8/vl5L3yBu4LLjI7UUDwtG1P8TXXEfrGq1gP7Dc7jpyl6vsMIiIiUg6su3cR3asboa+9THS3zjjn/MfsSCIiIiJippISwv85lMih/8DdvgNZX36Lp30Hs1OdHrud3LfexRcdQ9Qd/bHkZJudSKoyr5fIu+7AmnGY3MlTMGJizU5kuoKnR+GrUZOIB+4Ft9vsOFKFhI59nuBPPqLgsccpuf5vZscJKAWPjwCvl9C0Z82OImdJTTARERE/sW34meirumHNPELO5Cl4mzYjatAAwp5+XAMVERERkWrIkpdL1M19CZn6PoX3/5Ocj/+DkZBgdqwzYtSoQe47U7Du3UPEvXeCz2d2JKmiQl8cg/ObpeQ/NxbPuW3MjhMQjMgo8l94GfumDYROGG92HKkigj75iLAXn6O43y3Vd8nRE/Alp1A06E6Cp/8b28YNZseRs6AmmIiIiB84vvuW6D49wG4ne85iXL2vIXvWAgoH30nom68RdX1vrIcOmh1TRERERCqI5bffiLrmKhzff0vua29R8PjTYLOZHeuseM7vQMHIZwlatICQ1142O45UQc4vFhI27kWKbr6V4v4DzY4TUFzde1Lc5zpCX0rDtu0Xs+NIJef4fjkRD9yDq2Mn8sa+UmmW561ohQ8+jBEVRfjIJ8yOImdBTTAREZGz5JzzH6JuvBZfnTpkz/8Sb2rToz9wUjDmRXLffAfH+rXEdO2I44fvzA0rIiIiIuXO+usOYq66HPuObeT+ewYlN95sdiS/KRp8F8XXXEfYc8/gWPa12XGkCrHu2knE3X/H3fJc8p8ba3acgJT/7AsYYWFEPHivZmPKGbNt30bkbTfjTalP7rtTwek0O1LAMqJjKHzoUZxfL8Gx5Euz48gZ8msTLCsriyFDhnDllVfSu3dv7r33XjIzM/H5fNx4441cffXVXH311QwaNIi9e/f689IiIiKmCJ48icjBA/G0Po/s2Qvx1Un80zEl1/+NrIVL8UVGEnVdL0JefxUMw4S0IvK/LDnZhD4/mpiL2uJYvszsOCIiUgXY168lptcVWPJyyZ45B9dlV5gdyb8sFvLGTcDbqDGRd96Odf8+sxNJVVBUROSgAQDkTp4CISEmBwpMRo0a5I96DseKHwl+7x2z40glZMnIIOqm68FuJ+fDTzGiY8yOFPCKbh+CNzmF8JFPgtdrdhw5A35tglksFgYPHsyiRYuYM2cOdevWZezYsVitVt555x1mz57N7Nmz6dSpE88//7w/Ly0iIlKxDIPQ50YRMfxhXFf2IPuTWSfcsNnbtBnZi7/G1bM34SOfIPKOW7Hk5lRgYBE5Rn4+oePHEtuuFWHjXsCanUVU/79h//EHs5OJiEgl5vhmKVF9emKEhJA99ws8bdubHal8hIeT+940KC4pbVx4PGYnkkoufPjDOH5eR97rE/Gl1Dc7TkAr+dtNuLp0JWz0CKx795gdRyqToiKiBvTDeuggOVNn4EtOMTtR5RAURP6TI7Fv3kjwjA/NTiNnwK9NsOjoaDp06FD299atW7N//34AIiIiym7Pz8/HatVKjCIiUkl5PIQ/eC9hL4+lqP9Act/99yl9UtGIiCT3nQ/IHzUG58J5RF/RBeeCeeB2V0BoEQGgqIiQNycQd34rwsaMwn3BhWR+tZzMr3/EWyeRqJtvwL56ldkpRUSkEgr6/FOibr4BX71ksud9gbdRY7MjlStv4ybkv/QKjv+uJGTiG2bHkUoseMp7hHw4lYKHHsF1RQ+z4wQ+i4W8sa9gMQzCH3lAq4zIqfF4iLjvLhyrVpD7+ttV90Ma5cTV+xrcbdsT+twzUFBgdhw5TRbDKJ9/KX0+H3fccQddu3ZlwIDS6cxDhgxh06ZNxMTEMHnyZGrWrFkelxYRESk/mZlw220wZw48+SSMHHlmG8h++y3ccgvs2QO1asGAATBoEDRp4vfIIgK4XDB5MoweDfv3Q7du8Mwz8IcPcLFvH3TqVFrnS5ZAmzbm5RURkcpl/Hh48MHS55FZsyA62uxEFcMw4JprYPFi+PlnaNTI7ERS2Xz8Mdx0U+lrs3nzwGYzO1Hl8eqrcP/9MHUq9O9vdhoJZIWFcOONMHcujB0L//yn2Ykqp+++g44dYdSo0veDpNIotybYyJEjOXToEBMmTDhm1pfP52PixIkcOnSIESNGnPL5jhzJx+fTJxtORUJCBIcP55kdQ0RQPVYllrxcQia9Scgbr2HJzyP/ubEU3zHk7E7q8eD8cjHBH07B+cUiLF4v7g4XUnTLAEp6XwNhYf4JL4Dqsdry+Qia8SFhY5/Hticdd4cLKRj+JO6LOh73cOuedKL79MBSWED25/PxNmtewYGrB9WjSGBQLfqBYRA2egShr71MyVVXk/vmOxAcbHaqCmU9sJ+YjufjObc1OTPnnNkHxKRa1qNz/lwiB92Kp935ZH/0mcY/p8vrJbr3ldh+3U7m8lUY8fFmJ6oyqlI9WjKPENX/Ruz/XUl+2jiKbxtkdqRKLfKOW3Eu+ZIjP63F0ASfCvF7PVqtFuLiws/oHOWyJmFaWhq7d+9m/Pjxf1r20Gq1csMNNzBr1qzyuLSIiIh/FRYSMuEVYtu3IiztWdwdO5G15Luzb4AB2O24uvckd8pHZK7dTP4TI7FkHCZy6D+Ia9mE8H8Oxf7flVreQuQsBH84lcj778YXH0/2jM/Jnr3wLxtgAL669cieOQfDGUT09b2xbfulAtOKiEhlEzp+LKGvvUzRbYPIfeeDatcAA/DVrkPB08/gXL6M4GlTzI4jlYTzy0VEDhmIp3Ubcj78RA2wM2GzkffyBCz5+YQ/8ajZaSQAWffuIfrq7th/Xkfu5KlqgPlB/hMjwO0ifJRmglUmfm+CjRs3jg0bNvD666/jdDoByMzMJDMzs+yYhQsXkpqa6u9Li4iI+E9JCcHvvEVc+1aEj3oST+vzyFq0lNwPPsR7Tgu/X85XsxZFQx8k6/v/kj17Ia6rehM882NielxGaNqzfr+eSHURPONDPKlNyV64FPell53Sp9N99RuQ89lcsFiIur431p2/VkBSERGpbBxfLyH0+dEUX9eX/LRx1XoZt+L+A3Fd1JGwEU9gPXjA7DgS4BzLviby9v54mp1DzkefYUREmh2p0vKmNqXwgYcJ/uxTnIsXmB1HAoht8yair+qG9cABcmZ8jqvX1WZHqhJ8DRpSeN8DBH/yEY4lX5gdR06RX5dD3LZtG7169SIlJYXgo59+SkpKYujQoQwfPhy32w1AYmIijz/+OHXr1j3lc2s5xFNXlabsilR2qsdKyO0m+KNphI57Adu+vbgu6kjBsCfxXHBhhUex5OUS/s+hBM2dTdY3P+JtrP3Czobqsfqx7kknrm0LCv71FIUPPHza97dt2Uz0tT0xQkLJnrUAX9165ZCyelI9igQG1eKZs+7dQ8zll+CrWYus+V9pFgtg+3U7MV0uwnXp5eS+P03LIp6m6lKPjh++I6rfdXhTGpD9+VyM2DizI1V+Lhcx3Tphyc4ma/kKNRX9oLLXo/3HH4i69UaM4GByPvqsXD7IW62VlBDT9WIsRUVkLfsRIzzC7ERVmj+WQyy3PcH8TU2wU1fZ/6EWqUpUj5WLY9nXRPxzKLbdu3C3bV+6b9AlnU0dwFsOHyb2orZ4zm1Dzif/0ZsJZ0H1WP2EvPoy4aOf5sjK9fiSU87oHLaf1xN9XS+M6GiyZy/EV7uOf0NWU6pHkcCgWjxDJSVE9+mO7ZdfyP7ia7wNG5udKGCEvDae8GeeImfyFFy9rzE7TqVSHerRvmoFUX2vwVenDtn/WYCRkGB2pCrDvnoV0T0vp7j/beSPHW92nEqvMtejc/5cIu+6A29iEjkzPsdXL9nsSFWSfcVPRPe+gqJBf6dgzItmx6nSAnZPMBERkUrF5yP05ReJ6tsHw+kkZ9rHZM//EnenLqY3nYyEBAqGPY5z2VKcc2ebmkWksgme+THu9h3OuAEG4G3ZipyPP8dy5AhR1/XCtnWL/wKKiEilFP7UcByr/0veq2+qAfY/iv5xL+5WrYkY9jCWrMyT30GqDfu6NUT1ux5fjRrkzJyjBpifec5rR9Fd9xIy5V2cXy4yO46YJHjKe0Te0R9P83PInvuFGmDlyHN+B4oG/Z2QyZOwr/jJ7DhyEmqCiYhItWbJziJyQD/CnnuGkmtvIGvxN7i6dTe9+fVHxQMH4WnegvCnhkNBgdlxRCoF26aN2DdvpPi6vv/H3n2HR1UsDBh/t+8m25LgRQQBG6jXrkiRIk1Aeg8gHUQ60gQEFBRQpEuXGnrvAoJ0BCxYsKAoCigqmLKb7e18f0S93/VaKElmy/yex8erkj2vFyfZPTNn5rpfK/TgwzhWb0R9+TIpVctj6dVdnhMmSZKUoAzrVmNavABPr37yfJU/o9WSO3UmqqxMzC88L7pGihKazz7F1qoJit2OY+N2IjcWE50Ul9zDRxG6699Y+vVCdfmy6BypkCVNfhXL4P4EqtckZ8N2lDS51WhBc494gUjxElgG9gG/X3SO9DfkJJgkSZKUsLSnPialVjX0+98md8IkcucsiM7zHLRacl+ZjOaH70maPll0jSTFBOOm9SgaDf5GTfPl9UKPlifrxEd4e/fHsGMrqZUexjyoH+rvL+TL60uSJEnRT/P5Z3k3GCs+hnvki6Jzolb43vvw9H0W4+oV6A7sE50jCab56kvsLRvlnbG6YRuR4iVEJ8UvgwHn3IWocp15N+Vj4wQcKR/oDu4n+dVx+Fqm48xYHZ33NeKR2UzupGlov/qSpKlyS8RoJifBJEmSpIRkXLkM+5O1IBQkZ8tOfF2fjqqnv/4oVKEivpbpJM2egebs16JzJCm6KQqGjesIVquer1vtKGlpuEePJfPdT/B26Y5xzUpSKzxI8oghqH/+Kd+uI0mSJEUfldOBtXM7IlYbzvlLQKsVnRTVPAOHErr9DiyD+8udDBJZOIy1U1sUtQbHxm3XtUW1dGXCd92Ne9QYDLt3Yly2RHSOVBgUheRXXiJcvAS5U14HnU50UUIJ1qidd69mxhQ0n30qOkf6C3ISTJIkSUosPh/mZ/tgGdCbYPlKZO89TOiRR0VXXRH36LEoegPJzz8nV/VJ0t/QvnsCzYXz+Jq3KpDXV4oWxT1uIlknPsLXuh2mJQtJffR+kseMQpWZWSDXlCRJkgRSFCx9e6I5fw7nG0tRihYVXRT9jEZcU15Hc/4cya+8JLpGEkS/cwfar8/gGj+R8K23i85JGN5uzxCoVh3z6OFovjkjOkcqYPq3dqH74H08g54Dg0F0TkJyvTQBxW7PewIzHBadI/0JOQkmSZIkJQz1ue+wN3gC04oM3AOH4FizEaVIEdFZVyxS9EY8Q4djeHsP+l1vis6RpKhl3LgWxWQiUK9+gV4nUrwErsnTyTr6Pv6GTTDNeZ3UR+5Fd+hAgV5XkmKKoqD5+gzGxQuwdu2ArVUTDKtXyCdDpJhimjkdw87tuF94iVCFiqJzYkawQiW8nbthmj8H7Qfvic6RBEiaPYNwqdIE6svz8wqVWk3u63NRDAYsPbtBMCi6SCookQjJr7xMuPQt+Fq3FV2TsJTUNFzjX0P34UlM8+eIzpH+hJwEkyRJkuKeKicb44K5pNSqiubcdzhWrMUzbBRoNKLTrpq3aw9Cd96FedQw8HpF50hS9AkGMWzdhL9OPRSzpVAuGbnlVnJnziP70AmU1FSSJr1SKNeVpGilvnAew6rlWHp1J/X+O0mt9DCW5wai/eA9NN99i7VfT9LuLYN5UH+0J9+XTzdLUU135BDJ417E37AJ3h69RefEHPfIF4kUuwnLs33A5xOdIxUi7Ynj6N5/F88zfWLyc1esi9xYjNzJr6P76EOSJk0QnSMVEP32LWg/O4V7yHC5DaJg/sbN8NepR/IrL6H+9qzoHOkP5CSYJEmSFJ8iEXSHDmB5pgtp95bBMmIo4TJlyd5zkEDtuqLrrp1Oh2vCJDTnz5H0+lTRNZIUdfSH9qPOzMTfrGC2Qvw74TJl8Xbujv74O2hOf1Ho15ekQhcIoDn7Nbr9b2NcugjzwL6klruPtIfvwdq/F/oDbxOsUJHcSdPJPP4hWR9+TtaJj8jZspPAkw0wrl9NSt0apDxeEdO8WXI7USnqqH+8iPXpzoRvvY3c6bOi+vzYaKVYrOROmYH29BeYnx8qOkcqREmzphNJTcXX5inRKQkr0KAR3jZPkTR9Ctrjx0TnSPktHCb51XGEyt6Jv1lL0TWSSoXr1SkoWl3eeZhykVdUUSlKbPyOZGa6iERiIlW4G26wcPlyrugMSZKQ41EE9Q/fY1y9AuOqFWjOf0fEZsffohXeth0I33uf6Lx8Y+nRGcOb28k6/C6R0reIzokJcjwmBkvPbujffovMT78Gvb7Qr6/65RfSHrgTX/tOuCZMKvTrxwo5HmOL5qsv0Z58H835c2jOn0P9259/vIjq/32cjFhtBCtVJlilKoHK1QjfedffThqonA4MmzZgXJmB7sOTKHo9/rr18bXvRLDq43LCoRDIsfg3XC7sjeuh/eZrsnfvJ1z2TtFFMS1p/FiSp03COX02fjkp8qfiaTxqvj5DymOP4Bk4FM9zz4vOSWgqVy4p1R8DRSF7/1EUi1V0UkyIhfFoWLMSa99ncCxcRqBhY9E50q+MSxdhGTKA3Gmz8LVtLzonLvw2HtVqFWlp5mt6DTkJFodi4Ru1JJDLlfdn87V905CujhyPhSQYRL/rTUwrlqI7sA9VJEKgSjV87Trgf7IhGI2iC/Od+seLpFZ8mEDVajgzVovOiQlyPCYAt5si/74dX/NWuCZPF5Zh6dkN/Vu7yPzkS0hOFtYRzeR4jH6qXCeGzRvzJqg+eB8ARaUiUuwmwiUYrGJJAAAgAElEQVRLESlZinDJUoRLlSZSqnTe37uxGKivbbMRzeefYVyZgXHdatTZ2QQfeRT38FEEq1TLz38t6Q/kWPwL4TDWjm3Q730L5/I1BGrVEV0U+8JhbK2aonvvODk79hC6937RRVEnnsajeVB/jOtWkfnBZyg33CA6J+Fp3zuBvVFd/M1bkTtznuicmBD14zEYJLXiw0RsNnL2HLzm919SAYhEsDVrgPbTU2QffY9I0RtFF8W8/JgE0+ZzkyRJ0SgSQXf4IMaVGRje3I7K7yeSlpZ346Jk6f/cxChZikipUoRLlBSyel6SrpW1RxcM27cQvqk4ngGD8KU/FfdPR0WK3YR70HOYXxqNfu9ueXNGkgDDWztRedz4m4vdDsTbsSvGDWsxbt6Ar10HoS2SdFUUBe2J45hWZmDYugmVx0PozrtwjR1PoHadvPeIBkOBXDp8979xv/wq7lFjMa5ZSdKUidibNyRQuSruYaMIPVq+QK4rSX8medQwDG/tIveVyfI9Vn7RaHDOW0RKrSpYO7cne+9BFHuK6CqpAKguXcK4diW+1u3kBFiUCJUrj+fZISRPeoVA7Tr4GzcTnSRdJ+PKZWjOf4dr5To5ARZt1GpcU2aQ8nglLL2exrF6gzyvLQrIJ8HiUNSvVpAKjfqH7zGuWo5x9Qo0588RsdvxN29FuNhNaM6dQ3P+u7ztbL6/gCoY/P3rfl/lW+qPE2TXv8o30cjxWPD0e3dja9sS98AheIaMSKxDlwMBUqpXQhUMknXoRFw+8Zaf5HiMf9b2rdF+8jFZH34u9ueUopDyeEUUvSFvZab0P+R4jC6qn3/GuHYVxlXL0H59hkiyGX+zFvjatif00CNitiX0+TAtW0zStMmoL1/CX7M2nmEjCd3/YOG3xDE5Fv+X6Y05mJ9/Dk+P3rhfmiA6J+5o338Xe+N6BKrXzNvNQH6u/F28jMekV14iaeokst95n/Btd4jOkX4TDGJvVAfNN1+TfeAYkZuKiy6KalE9Hn0+Uss/QKR4CXJ27JHbR0cpw+oVWPv1xNuuA64pr8vfp+sgnwSTJOl/+f3od7+JaUVG3rZwikKgyuO4R4z+623hwmHUP/2Yd7bDue/+67wH3eGDGP5w3oOi1xMucfOvE2Sl//ME2a9/raSmym/uUuHw+0l+/jlCt92OZ+BziTUBBqDX4xo3EXurJiSPHYX7pVcS7/8DSfqVKisT/dt78D7dS/wNNZUKb4cuWIYPRvvRSUIPPCS2R5L+gvqnH0l+YQSGrZtRhcMEH62Ac8ZA/A2biN/K02jE270n3rYdMC16g6SZU0mpXQ1//Ua4h44gfNfdYvukuKTf9SbJI4fhr9cA94svi86JS6FHHsU1dgKW4YNJmj4Zz7NDRCdJ+cntxrR4AYG69eUEWLTR6XDOeoPUGpWx9OqOY82mAnu6WypYpoxFaH68mLe1pbz3FrX86e1wf3eW5CmvEb7lVrz9BopOSmhyEkyS4kUwSPLE8RiXLUadlZW3LdyzQ/C1eYpIqdJ//7UaDZHiJYgULwEVH/vff+73o/n+POpz5/5wIPp3GD75CHVW1n/98kiyOW+CrFQpQg8+jKdHb0hKyr9/V0n6VdLsGWi/PUvOmk0Ju4Vn8PEaeLs+TdKCeWi/+RrnnAUoqWmisySp0Bm2bUEVCuFr3kp0CgD+VumYX3oB45KFuKbJSTApykQiGJcvJXnMKFTBAN6ne+F7qiPhO8qILvtfycl4+w7A16kLprmzMM2dRcqb2/LONZk0Xb7HlPKN9uMPsT7ThdD9D+Cc/YZcWFSAfF26o3vvBEmvvEzwwYcJPl5DdJKUT4yrlqHOzsbTu7/oFOlPRG69jdxJ07D26o61WwecC5cl7OfomOV2kzRtMoHKVeW5qTHA89xINN99h/nlF4mUKi23IhVIbocYh6L6kV2pYLhc2Lp1QL9vL/76jfC270iwWo1C++CmcuX+vwmyX7dY/PUP7RefEy59C7lTXidYuWqh9EQTOR4Ljvr7C6Q+9giBGrVxLl4uOkcsRcG4fCnm4YOJ/KsozoUZhB58WHRV1JHjMbaov7+A5tx3BB+rckW/3ta4HurMX8g+/G7UrIg0D+qHcf0aMj/5EsVmF50TVeR4FEd99hssg/qhP3qYwGNVcE2eTvjW20VnXTFVViZJs2ZgmjkNf4vWchX0dZJjMY/6+wvY69YAvZ7snftQihYVnRT/3G5S6tVAffkS2XsP5y3ITHAxPx5DIVIrPESkaNG8LdqkqGVcvADLc3lPfjvnLQKtfEbij6J1PJpmTMH88otkb98jz0uNFX4/9haN0H50kpwN2+Xv2zXIj+0Q5ebLkhTjVL/8gr15A3QH9pE75XWci5cTrFG7UFcuKmYL4X/fQ6Befbw9euMeNxHnsjVkHzxOzsbtKCoV9mYNMA/si8qRU2hdUnwzjx4BgGvseMElUUClwte+Eznb3wKVCnvDOhiXLoLYWOciSf/L7cbWsjH2pvVJHjEEAoG//eXqH75Hf+wo/mYto+pmuK9TV1ReL8a1q0SnSBKEQphen0bq4xXRfvIxuZNn4NiwLaYmwACU1DTco8bgGTIc47rVeT/vJOk6qHKd2Nq1QuX14li5Xk6AFZbk5LyFbP4A1q7twe8XXSRdJ8OOrWjOfyefAosBvs7dcI0dj2HbZix9ekA4LDpJugIqp4OkmdPw13pCTqTEEoMBx9KVhIuXwNYxHfW3Z0UXJSQ5CSZJMUx9/hz2BrXRfvE5zsUr8D3VUXTS/whWrkr2gWN4+gzAuGo5KZUfRb9jm+gsKcbpDuzDsH0Lnv6DiNxcUnRO1Ag98BDZew4SrFwVy5ABWPo+Ax6P6CxJumrmF0eiOfsNvsbNSFowD3vjeqgv/vCXv96waQMAvqYtCivxioTuvZ/gQw/LSWlJOM2pT7DXrYH5pdEEqtci++h7+Np3En9+3nXwDByKv2ZtzCOfQ3vyfdE5UqwKBrF27YDmzJc4Fy0jfOddoosSSvi2O8idMQfdyQ8wjx4uOke6HoqCadZ0QrfeRqBOPdE10hXwPtMH18gXMW5ch3lQP4hERCdJ/8A0dxbqnBw8w0aKTpGukpKahnPlOlAUbG1boMrO+ucvkvJVvn7qyc7Opnv37tSpU4eGDRvSp08fsrKy+Pbbb2nfvj1169alQYMGDB8+HJ/Pl5+XlqSEo/n0FPYna6HOyiRn3VYC9eqLTvprJhPu0WPJ2b2fyA3/wta5HdYu7VH9/LPoMikWBQKYRwwhXPoWPL36ia6JOkpqGo6V63EPHYFh3WpS6tVEc/Zr0VmSdMX0u3diWroQb69+5L6xBMfCDDSnvyClZmV0hw786dcYN6wl+PAjRG65tXBjr4C3Y1e0X32J7thR0SlSIvL5SB43hpQnqqH58SKOhRk4l6wgcmMx0WXXT60md/YbRG4shrVrB1SZmaKLpFijKJiHDUZ/YB+u16YRrFZddFFCCjRohKdXP0yLF2BYt1p0jnSNdO8cQffRh3h79pXn6cUQb7+BuAcPw7RyGeZhg+SirSimysrENHcW/gaNCd33gOgc6RqEb70dx5JVaC6cx9qpnXwCupDl6ySYSqWiW7du7N69m23btnHzzTczadIkdDodw4cPZ9euXWzduhWv18vChQvz89KSlFB0Rw9jb1wPtFpytu4mVL6C6KQrErrvAXJ278f1/Avo9+witXI5jCuXyTda0lUxzZuN9uszuMZPBKNRdE50UqvxDB6GY9UG1D9dxF77cfRvbhddJUn/SHXpEpZnexP69724f13hGGjYhJw9B4kUuQFbqyYkTZv0XytVNae/QPvZKXzNW4nK/lv+xs2I2OwYl8r3vlLhUv3yCylPVCNp+mR8rdqQdeRdAg2bRNWWoddLSUnFuTAD9S+XsT7TRW7nJF0V4/KlmJYtxtN/EL52HUTnJDT3yBcJVHwMy+D+aD/5SHSOdA1Ms2cQKVIEX6s2olOkq+QZMhxP32cxLVlI8ujh8v5MlEqaOR2V24V76AjRKdJ1CFWoSO6MOeiPHcXybB853gpRvk6C2e12ypf/z56kDzzwABcvXqREiRLcfffdeRdUq7nvvvu4ePFifl5akhKGfttmbK2bEilWjJwde2Jvyw6dDm//QWTvf4fQXXdjGdAbe6O6mObPRvP5Z/IRfOlvqS/+QPLkV/HXqUegVh3ROVEvWKMW2XsPE779dmyd2pI0ZaLoJEn6a4qCZUAvVC4XzjkLwGD4/R+Fb7+D7J378DdpRvL4sVg7pKPKyQbAsGkdilqNv1EzUeV/LykJX+s2GLZvRXXpkugaKVH4fNg6tkHz3bfkrN6Aa/pslJRU0VUFInT/g7gmTEJ/cD9Jr00QnSPFinCYpBlTCD7yKO7ho0TXSFotzvlLiKSmYW3XCvUP34sukq6C5svTGPbsxtu1B5hMonOkq6VS4R75Ip6ne5I0bzbJ48bIG/NRRnXpEqaF8/A3axl79wCl/+Fv1hL3sJEY16+R710LkUpRCuY7WyQSoUuXLtSoUYMOHf6zqsrn89G8eXMGDhxIzZo1C+LSkhS/Zs+GPn2gYkXYtg1SY/xmRiQC8+fDpEnwzTd5f++GG6B6dahRI++P22+PqxXL0nVq0wY2bYLPP4dbo2/bs6jl90O3brB8OaxbBy2i69wkSQJgzhzo1QtmzIC+ff/81ygKzJoFAwdCiRKwfn3ef8933AG7dxdu79U4fRruugsmTIBhw0TXSPEuEoG2bWHNmsT6nt+1KyxaBNu3Q/0o3iZcig7btkGjRrB2LbRsKbpG+s2pU/DYY3DLLXD4MFitooukK9GlC6xeDefPQ5Eiomuka6Uoee/F586FMWNg9GjRRdJvnn8+73PE6dNQpozoGik/KEre984lS/K+f7ZuLboo7hXYJNiYMWP4+eefmTlzJupfD1wOhUL07duXm266iVGjrm61VWami0hErkS4EjfcYOHy5VzRGVJ+UhSSXnmJ5KmT8Neph3PeYkhKEl2Vr9QXzqM7ehj94YPoDh9E89OPAIRvKk6wclUCNWrhb9I85g5wl+Mx/+iOHMLerAHuwcPwyC0Arp7fj71JPTRffknOWwcI336H6KJCJ8dj9NKc+YqUWlUIVqiEY/XGf1z8oH3vBNZuHVFfvoQqFMI5Yw7+9HaFVHttbE3ro7lwnqx3P465n2UFQY7HgpM8bgxJ0yfjGv0S3j79RecUHq8Xe4Mn0Jw/R/beQ0RKlRZdFBMSdSzamjdC880Zst77BHQ60TnS/6Pb/za2ti0IVquOY/la0GpFJxWaWByP6p9+JPXhe/C174Trlcmic6TrFYlgGdAb4+oVuEaOwdvvWdFFwkTNeHS5SHvoboKPVcW5eLnoGik/BQJYej9NuOydeAbLhZJ/57fxqFarSEszX9NrFMgn8FdffZVz584xbdq03yfAwuEwgwcPxmazMXLkyIK4rCTFp1AI88C+JE+dhLddB5yLV8TdBBhA5OaS+NPbkTtrPlkfnybr2AfkTpxK8JFH0b/9FtZnumLp1R0CAdGpkgjBIOYRQwiXLIWnb+K+Eb8uBgPOBRlg0GPt3A5cLtFFkpQnEMDSsxuKyUTujDlX9PRvqFx5st8+QrBSFSJpaQTqNyyE0Ovj69QVzflz6PfvFZ0ixTHjigySpk/G274z3t79ROcULpMJ58IMAKxd2oPXKzhIilaa01+gP3wAb+ducgIsCgWr18Q1cSr6fXsxDx8it2WLcqY35kI4jOeZPqJTpPygVpM7dSa+Zi0wv/wCpnmzRBclPNPKDNQ5OXgS7X1dItDryX1jiZwAKyT5Pgk2ZcoUPv30U2bNmoVerwfytkYcNmwYGo2GcePGoZJbm0nSlfF4sHZ5CtOKDNwDh+Ca8npirIRTqQjfdge+Tl3JXbCUzM++wfX8Cxg3rsPWriUqVxSsxpEKlWnhPLSnv8D10ityn/nrECleAufcRWi++hLL4H7ypoIUFZInjkf3yUfkTn6dSNEbr/jrlCJFcKzbTObJz1Es0b9dkr9eAyI3/Avj0kWiU6Q4pTu4H/OQAQSq18T16uSE3E46UvoWcmfNQ3fqY8wjhojOkaKUacE8FKMR31OdRKdIf8HXvhOevs9iWroQ05yZonOkv+LzYcxYTKB+IyKlbxFdI+UXjYbcmfPxN2iMedRwjIsXiC5KXKEQpnmzCT5agdAjj4qukaSYlq+TYGfOnGHevHlcunSJ9PR0GjduTO/evTl06BBbt27lq6++olmzZjRu3JgxY8bk56UlKe6osrOwt2yMfvdOcidMwjNsVELezABArcbbfxDOGXPQHTmErWkDVJcvi66SCon6559ImjgBf83aBOo+KTon5gWrVcczbCTGjesxLpovOkdKcLpjRzG9PhVvuw7X9jSXShU7E+N6Pd52HdC/tQv19xdE10hxRvPF51i7tCd8R1mcC5YmxqKpvxB4oh7ugUMwrcjAuCJDdI4UZVQ52RjXrcLXvBVKWproHOlvuJ9/AV+jpiSPGYl+2xbROdKfMOx+E7UjB2+HzqJTpPym1eKcuxD/E3WxPDcQ48ploosSkmHrJjQXzuPpnUDbW0tSASmwM8HymzwT7MpFzb610jVT//A9tvRmaL49i3POAgINm4hOihr6PbuwdutIpOiN5KzZROSWW0Un/S05Hq+fpffTGLZsJPvQccK33i46Jz5EIlg7pKPf/zY5m98kVK686KJCIcdjdFE5ckip/hhotWTtOwrma9vbO5aoz58jtdx9eJ4dgmdYYm8PLsdj/lH9/DMp9WpAMEjOrn1EipcQnSReOIwtvRm64++Qs2UnoYceEV0UtRJtLJpmTsc8dhRZ+44Svude0TnSP/F6sTdviPbTT8jZtIPQw+VEFxWoWBuP1nYt0X56iqyTn4FGIzpHKgg+H7YO6egO7id39hv4m7cSXVRohI9HRcFeuxoqj5vsI+/JM4WlhBa1Z4JJknTtNKe/wF6/NuqLF3Gs3ignwP4gULsuOeu35t08rV8b7ScfiU6SCpD2+DGM61bj6dVPToDlJ7Wa3JnziNxUHGu3jvLJSkkI87DBqH+8iHPOgoSYAAOIlCxFoGbtvKdTgkHROVI8cLuxtW+FOisT54q1cgLsNxoNzrmLiBQthu2p1qjPnxNdJEWDUAjTovkEKlWWE2CxwmTCkbGaSNEbsbVPR33uO9FF0q9Uly6h37cXf8t0OQEWz4xGHEtWEqxUGUufHui3bRZdlDB0Rw6h++QjvD37ygkwScoHchRJUhTRnjiOvWEdCIXI2bKTYOWqopOiUqhceXK2vYViNGJr/CS6QwdEJ0kFIRTCMmwQ4eIl8PQfJLom7ij2FByLlqPOzsL6TBcIh0UnSQnEsGk9xg1r8Qx6Lu5Xdf+Rr1NXND//hEHeRJCuVziMtWc3tJ98jHPeYkL3PSC6KKooaWk4Vq6DYDDvTFlHjugkSTD97p1ovr+At3tP0SnSVVCKFMGxcj2E5FiOJsaNa1GFw/hatRGdIhW0pCQcy9YQeugRrD26oN+9U3RRQkiaNZ1IkRvwtUwXnSJJcUFOgklSlNDvehN7y0ZE0tLI2bFHrk78B+EyZcnZsYdIyZLY2jTHsGm96CQpnxmXLkT7+ae4xk6A5GTROXEpfO995E6civ7wQZJeHSc6R0oU4TDJ48YQvP9BPAMGi64pdIGaTxAqUxZL/14Yly+F2NiZXIpCyS+OxLBrB66XXyFQp57onKgULlMW5+LlaM5+g7VLB/kEZoIzLZhL+OaScrzEoPAdZXAuXoHm27NYu7SHQEB0UsIzrllF8MGHCJcpKzpFKgxmM45V6wndex/Wru3R7dsruiiuaT7/DP2+vXi79QCjUXSOJMUFOQkmSVHAuHwp1k5tCd11Nznb9xApVVp0UkyIFLsp74m5h8th7dEF0/zZopOkfKK6fJnkCS8TqFqdQINGonPimj+9Hd72nUieNgn9rjdF50gJQL97J5rz5/D0GwhareicwqfRkLNlF8GKj2EZ2BfzgN7g9YqukmKMceF8kubNwtP9GXzdnhGdE9WClauSO3kG+sMHMA8ZICeeE5Tms0/RHz2Mt3P3xPzZEweCj1Uhd+pM9IcPYm9cD/XFH0QnJSzNp6fQfnZKPgWWYBSrDceaTYTK3ImtU1t0Rw6JTopbSXNeR0lKwtupq+gUSYobchJMkkQKBkkeNRzLwL4Eq1UnZ8N2lCJFRFfFFMWegmPNJvz1GmAeOQzz4AHg94vOkq5T8ssvoPJ6cE14DVQq0TlxzzVuIsH7H8TSpwfqb8+KzpHinGnBXMIlbiZQr77oFGGUtDQcqzbgHvQcplXLSXmylhx70hXT79mF+fmh+Os+iXvsBNE5McGf3g73wKGYVi7DNGOK6BxJANOCuShJSfie6iA6RboO/lZtcCxYiub0F6TUrCy3xRfEuHYVik6Hv2kL0SlSIVPsKTjWbSFc+hZsT7VCe/yY6KS4o/7xIoaN6/C2bY+SmiY6R5LihpwEkyRB1D/9iL1pfZLmzcLb9Wkcy9eC2Sw6KzaZTDgXLcPTZwCmjEXYGz6B+sJ50VXSNdK+/y6mVcvx9uhN+I4yonMSg9GIc2EGaNTYWzbO2140EhFdJcUhzWefoj9ySK7EB9Bo8Dz3PI6V61D/cIGU2tXk05jSP9Ke+hhr986E7rkP55yFoNGITooZnueex9esJeZxY+Q22glGlZmJccNafC3SUewponOk6xRo1JSctw4QKXIDtlZNSJo2Sb5vLUyhEMYNawnUritv0CcoJS2NnPXbCN9UHFvbFmhOfyE6Ka6Y5s+BcBhvj96iUyQprshJMEkSQPfOEVJqVkH76Sc45y7ENWES6HSis2KbRoN79Fgci1eg+eYbUmpVkftUx6JwGPOwwYRvLIZn4BDRNQklUrIUjuVrUcwWrD26kFK9Evo3t8tto6R8ZVo4D8Vkkivx/59ArTpk7z1M+JZbsXVIJ3ncGAiFRGdJUUh98Qes7VoRSUnBuWKtPC/zaqlU5E6fTaBCJSz9eqI9cVx0kVRIjCuWovL58s5WkeJC+I4yZO/ch79JM5LHj8XaIR1VTrborISgP/A26suX5FaICU75179wrN8KRiPWLk+hcuWKTooLqlwnxozF+Bs1kcekSFI+k5NgklSYFAXTzOnYmjckYrORvWs//mYtRVfFlUD9huTsOUDkxpuwtWlO0msT5MrAGGJctgTdJx/hHjMOxWwRnZNwQuXKk73vCM75iyEYxNapLfY6j6Pbt0dOhknXTZWViXH9GnwtWqOkpIrOiSqRkqXI2bYbb/vOJE2fjK11U1SXL4vOkqKIypWLrV0rVC4XjhXriBS9UXRSbDIYcC5ZQbh4CWwd01Gf/UZ0kVTQgkFMi94gUOVxwnfeJbpGyk9mM7lzFpI74TX0+/aSUqsa2lMfi66Ke4a1q4ikphKo9YToFEmwyE3Fcb6xBM23Z7H07y0/L+YD47KlqHOdeHv1E50iSXFHToJJUiFROR1YO7XDPHYUgScbkrN7v/wgVkDCt95O9s638bdoTfJrE7C1bYEqK1N0lvQPVFmZJE8YS+CxKvibNBedk7jUavxNmpN96ATOGXNQZ2VhT2+OvWEddEcPi66TYphxecavK/GfEZ0SnYxGXJOn45wxB917J0ipWRnD5g2osrNEl0mihUJYundCc/pznAszCN/9b9FFMU1JTcOxMm87RPkeMf7pd25Hc/EHvE/3FJ0iFQSVCl/XHuRs2QnBAPb6tTGsWi66Km6pHDkYdu7IOwtMrxedI0WB4GNVcD//IoZtmzHNnSU6J7YFg5jmzybwWBVCDzwkukaS4o6cBJOkQqD57FPstauhf2snrrHjcS5YimKxis6Kb0lJ5M6cR+7EqeiOHCKldjW0H50UXSX9jeRxY1E5nbjGvwYqlegcSavFn96OrHc+IPe1aagvnMfetD625o3Qvv+u6Dop1oRCmBa/QaBKNcJ33S26Jqr509uRvWNv3vYyT3cm7c5bsNesQvILz6Pfu1tuN5NoFAXziCEY3t6Da+JUgtVrii6KC5Fbb8OxdDWa7y9g7dQO/H7RSVIBSXpjLuFSpeVTK3EuVK482XsPEyxXHmv/Xpif7QM+n+isuGPYuhmV34+vdVvRKVIU8fbuh//JhiSPHYXu+Duic2KWYdP6vEUbveVTYJJUEOQkmCQVMMPaVaQ8WROVx4Nj0w68z/SRN/gLi0qFr1NXcrbuAkXB3uAJjBmL5WP6UUj70UmMy5fg7faMvEEebfR6fB27kHXiI1wvTUD7xWekPFkLa7uWcssZ6Yrpd25H88P38imwKxS+9z6yjr5P9ra38AwdgWK1Ylo4D1vblqSVKYW9fm2SXnkJ3ZFD8uZ9nDPNnYVpyUI8fQbga99JdE5cCZWvQO7rc9EffwfbU63kBHMc0n7yEboTx/B2fRo0GtE5UgFTbrgBx9rNuAcMxrQiA8sAuT1bfjOuWUmoTFlC9z8oOkWKJioVuTNmEy5VGku3jqh//kl0UexRFJJmzSB0510EaspFG5JUEOQkmCQVoKQpE7H26UHwwYfzVqZVqCQ6KSGFHnqE7D2HCFaqjGVwf5Imvyo6Sfr/IhHMwwahFLkBz9Dhomukv2I04u3Rm8x3P8Y18sVft2urgrVLezSnvxBdJ0U50xtzCZcsTeCJuqJTYodOR6h8BTyDnsOxaQe/nLlAzvqtePoMgEiEpOlTsDdrQErtqqhyskXXSgVAv2MbyS8+j69RU9wjXxSdE5f8TVvkbUF65BC2pg1QXbokOknKR6Y35qIkJeNr85ToFKmwaDR4RozGPXwUxo3rMC56Q3RR3FB/exbdu8fxtWorF/VK/0Ox2nAuXoHalYuleycIBkUnxRTdgX1ov/gMT69+cnxJUgGRk2CSVEBMM6eT/MrL+Fq0xrF+K0rRoqKTEpqSloZj1QZ8rbzBjYIAACAASURBVNqQPHE8hnWrRSdJvzKuWo7u5Ae4XnhJbhMaC8xmvP0GkvX+KdyDh6E7sI+UahWw9OyG+uw3ouukKKQ99TH64+/IlfjXy2QiWPVxPCNGk7PzbTK/Oodz9htovvkaa5f2EAiILpTykfbk+1h7dSP00CPkvj4X1PJjW0Hxp7fDmbEK7VenSWlQG/W3Z0UnSflAdfkyhk3r8aW3RbHZRedIhczTfxD+J+piHj1cbuOdT4xrV6GoVPhbtBKdIkWp8F13kztpOvrj75D88ouic2JK0qwZhIvemHfeniRJBUJ+mpKkAmBcMBfz2FH4Gjcjd8Yc0GpFJ0kAGg25U14n8FgVLAN6ozt2VHRRwlNlZ5H88gsEy1fE3zJddI50FRSrDc/QEWS9/wnePgMwvLmN1McewTywL+rvL/z3L45EUP94Ee3xYxjWriJp0itY+vXE2qENxuVL5RZUcS5vJX4SvrZyJX5+UixW/C1akzttFvojh7AM7i+3fYoT6u8vYHuqNZEbiuLIWA0mk+ikuBeoXZecDdtQOXJIqV8b7ScfiU6SrpNp2WJUgQDerj1Ep0giqNXkzpxHpFhxrF07oPrlF9FFsS0SwbhuNcGqjxO5qbjoGimK+Vu0xtulO0lzXke/bbPonJigOfUJ+kP78XbvCQaD6BxJilsqRYmNT8uZmS4ikZhIFe6GGyxcvixvKIpizFiMZXB//PUa4FywFHQ60UnSH6hysrHXr4368iVy3nyb8O13FNi15Hj8e+ZhgzAuWUj23sOE77lXdI50HVQ//0zS61MwLVkIgL9ufdS5TtTnz6H5/gKqP5xbFL6xGOj1aM6fy9uqqHFTfG07EHq0fIFtASHHY+FTXb5M2oN34WvbHtfEqaJz4lbSaxNIfm0C7mEj8QwcKjrnisjx+Bf8fuyN66L56itydu8nfEcZ0UUJRXPmK2ytm6LKzsa5dCXBqo+LTipwcTkWIxFSH32AcKlSODZsE10jCaQ99TH2+rUJlquAY+2mqH8iPVrHo+7YUeyN6+GcNV8uXJT+md+PvUk9NF9+Sc5bBwr0fktBKqzxaB7yLMa1K8n8+DSKPaXArydJsei38ahWq0hLM1/Ta8gnwSQpHxlWr8A8ZAD+Wk/gnL9YToBFKcWegmPFOtBqsbVpLlcGCqK++APGjMX42neWE2BxQClaFPfLr5J14iN86U+hO3EMVVYW4bvvwdvtGXJfnULO6g1kvfMBl89fIuuTL8l67xOyd+zB17Q5xi2bSGn4BCmVy2GaOV2eyxInTMuX5K3E7/aM6JS45hk8DF/LdJJfeRnDhrWic6TrYB41DN3JD8h9fa6cABMgfEcZcnbsIVKyJLY2zTFsWi86SboGunePozn/Hb7WbUWnSIKF7r2f3FenoD98gKRXx4nOiVmGtauIJJvxP9lQdIoUCwwGnAsywKDH2rkduFyii6KXx4Nh4zr8DRrLCTBJKmByEkyS8olh03osA3oTrPI4zkXL5WPMUS5S+hYcGatR//wTto5twOcTnZRwTG/MhUgET5/+olOkfBQpXgLXpGlknfqKnD0HcS7MwP3CS/g6dyNYo3beSkCjMe8Xq1SEypXHNXUmv3x6htxps1DsKZjHjiLtgTuxdmyLfvdOOT5jVTCIcfECAo/XIFymrOia+KZS5W33W6kylv690B1/R3SRdA0Ma1dhWrIQT+/+BOrLG42iRIrdRM7WXQQfLoe1RxdMb8wRnSRdJcOalShJyfjrNxKdIkUBf5un8D7VkeRpk9DvelN0TuzxeDBs2USgYWNIThZdI8WISPESOOcuQnPmKyyD+8ktu/+CYdtm1LlOfO06iE6RpLiXr5Ng2dnZdO/enTp16tCwYUP69OlDVlYWAIMGDaJy5cqULVsWt9udn5eVJOH0O7Zh6dWdYPmKOJau/M8NXimqhR55FOes+ejeO4Gl3zMQiYhOShiqXCfGjMX4GzUhUqq06BwpGpjN+Nq2J2fHHrKOvIe3e0907x3H1r41Re64GVvzhiRNfQ3teycgGBRdK10Bw/YtaH76EW93+RRYoTAYcC5eTrhkKawd26A5+7XoIukqaD77FMuQAQQqVcb9/AuicxKeYrPjWLMJ/5MNMT//HMkvvyhv4MUKrxfDlk345Q176f9xjX+N4H0PYOnTA/XZb0TnxBTDzu2oXbnyyUrpqgWrVcczbCTGjesxjxgC4bDopKhjXLmM0C23Eqz4mOgUSYp7+ToJplKp6NatG7t372bbtm3cfPPNTJo0CYAWLVqwZcuW/LycJEUF/Z5dWJ/uROiBh3CuWCs/bMWYQMMmuEaNxbh5I0mvvCw6J2EYM5agznXi7S2fApP+V7hMWdxjxpH50WkcK9fh7dwdVXY2yRNeIqV+bdLKlMLatgWm2a+jPfWxnMCOUqY35hK65VYCNZ8QnZIwlJTUvO1+1WqsbVqgyswUnSRdAZXTgbXLU0SsNpzzFoNWKzpJAjCZcC7MwNuhC0kzpmDp30suwogB8oa99KeMRpwLM0CtwtalPXg8ootihnHtKsI3l5Q36aVr4uk/CM8zfTAtnI+lRxf4wznRiUxz9mv0x47ia9u+wM7EliTpP/J1Esxut1O+fPnf//qBBx7g4sWLAFSsWJG0tLT8vJwkCac7sA9rl/aE7r4Hx+oNKGaL6CTpGnj79MfbvjPJ0yZhXLlMdE78CwQwzZ9NoHJVQvc/KLpGimZ6PYFadXCPHU/OviP88sW3OBZm4G/ZGs1332J+8XlSalYh7a5bSB47GlWWvOEfLbQffoDu/XfxdesBarn7dmGK3HIrjozVaC7+ILf7jQWKgqVvTzQXzuNckIFStKjoIun/02hwvTYV99ARGFevwNqxDchdTaKace0qwiVuJlipsugUKcpESpUmd84CNF98huW5gfLpziug/ulHdAf342vZWr6fk66NSoV77HhcL47DuHVT3pnsTofoqqhgXLkcRaPBLxdtSFKhUClKwfzkj0QidOnShRo1atChw3/2Ni1btiwnT54kWT4tI8WyUAiWLYPeveGOO2DfPpCTvLEtGIQGDfJ+L3fuhFq1RBfFr2XLoEMHePNNqFdPdI0Uy374Afbvh61bYf16MJth4EB49lmw2UTXJbb27WHz5rzfI6tVdE1iWrcOWrWCNm1g+XJ58ypaTZwIzz0HU6fCgAGia6S/M28e9OoF5crBjh3yvX80ungRbr4Zhg+Hl+UOD9JfeOEFGDs2b0w//bTomuj22mswdCh8+SWUKSO6Rop1y5dD587w73/n3XMpVkx0kTihUN7Pq3Ll8j7LSpJU4ApsEmzMmDH8/PPPzJw5E/X/+9B9rZNgmZkuIhG5UudK3HCDhcuXc0VnxKdIBMPWTSRNHI/26zMEH3oYx7K1KDfcILpMygeqXCf2BnVQf38Bx/othB58+LpfU47HP1AUUh6vBEqE7IPH5WP/Ur7RnP6C5InjMWzfQsRux9NnAN6uPf5ri1o5HguH6uefSXvobrwdu+Ae/5ronIRmmjEV88sv4Ok/CPeI0VH1PVeOR9AdOYStRSP8DZuQO39xVP3+SH9O/+Z2rD06E765JI41m4jcXFJ00nWLp7FomjUD85iRZB37gPBtd4jOkaJVOIytTXN07xwhZ+MOQo+W/+evKSRRNR4VhZRqFVDMFnLe3Cu6RooTun17sHXpQKRIERxrNkb19+qCHI/6XW9i65COY+kqAvXqF8g1JCme/DYe1WoVaWnma3qNAlkS+uqrr3Lu3DmmTZv2XxNgkhSzFAX9zh2k1KiM9enOoNXiWLyCnJ375ARYHFEsVhwr1qJYLNifrJV3CLrXKzorruj2v432i8/w9Oonb/ZJ+Sp85104Fy0je+8hguXKY375RdLK3Ydp3iy5HVwhMy1ZgCoYxNdVrq4Wzdt3AN72nUmaPpnkUcPk+XlRRP3jRaxPdyZ82+24pr4ufybGiMCTDXCs24L68mXs9Wuj+fwz0UnSbxQF49qVBB8uF9U3VaUooNHgnLuQSLGbsDdvgHH5Urk14p/QnvoY7ekv8LVqIzpFiiPBGrXJ2bQdlduFvcETaD/8QHSSEMaVGURu+BeBWvLsZEkqLPk+QzVlyhQ+/fRTZs2ahV6vz++Xl6TCpSjo9u3FXufxX8/V8OKcu5Ds/e8QqN9Q3rCIQ5ESN5N94B18rduSNGMKKdUroTt2VHRW3Eia/TrhG4vhb9ZSdIoUp0L3PYBzxTqyd+whdNe/MY8aTmr5BzAuWQiBgOi8+OZ2kzxqGElTJuKv+6S8CRkNVCpcr03F06MXSfPnYOnZVR5IHg0CAazdOqLyeHAuXiHPlI0xwQqVyNm6CwB7o7ryfWKU0J76GO0Xn+OTZ6tIV0BJTSN7136CFSphGdgX84DecvHjHxjWrETR6/E3aSY6RYozoQcfJmf7WyjJZuxNG6Dbl1hPGqp//gn9nt340tuBTic6R5ISRr5Ogp05c4Z58+Zx6dIl0tPTady4Mb179wagT58+VK1aFYC6devStWvX/Ly0JOU73bGj2BrXw57eDHVmJs7ps8k+8l7ezXuNRnSeVIAUewquabPIWb8VVTiMvXE9zIMHyANcr5P21MfoD+3H270nyEUSUgELlSuPY8NWcjZuJ1LiZixDn4WyZTGsXpG3B7uUr3T73ya1WgWS5s3G16krubPmi06SfqNW4x47AdfolzBu2oCtbUtUuU7RVQkteewodO+dIHfaTMJlyorOka5B+K67ydmxh0jRothaNUG/Y5vopIRnWLsq74Z946aiU6QYoaSl4Vi9Efeg5zCtWk7Kk7VQf3tWdFZ0CAYxblxHoM6TKPYU0TVSHArfdgc5O/YQvuVWbE+1wrButeikQmNYsxJVOIyv7VOiUyQpoRTYmWD5TZ4JduWiah/pGKLKzkL3zlH0Rw6iO3wQ7VdfEr6xGJ5nh+Br10HetE9UbjfJr47DNH82kaI34np1CoG6T17xl8vx+B+WZ7qi372TrI8+R7HZRedIiURR0O3fi/218fDBB4Ruux3P0BH4GzcDuW3zdVFlZ2EePQLjmpWEbr+D3CkzCVWoKDpL+guGNSuxDOhN6O57cKzagPKvfwlrSdSfj7p9e7CnN8fzdE/cL78qOke6TqqsTGztWqH98ANcr0zG1yn2FnrGxVgMBkm7vyzBipVxLswQXSPFIP3e3Vh6dYeIQu7MeVf1eS8/Rct4/P28ouVrCDxRT3SOFMdUTgfWjm3RHz1M7qtT8HXuJjrpdwUyHhWFlIoPEflXURy/PlUuSdI/i9ozwSQpJrhc6N9+i+QXR2KvVZW0O2/B1rkdxlXLiRQvQe6E18g68VHeD2E5AZa4kpNxjx1Pzs63Uewp2DqkY+neCdWlS6LLYor6wnkMWzbia99JToBJhU+lIlijNrz3Ho4lK0Gvx9qjCynVH0P/5nZ5DsS1UBQMWzaS+lg5DBvW4h4wmOx9R+UEWJTzt26Lc/katN+cIaV+LdRnvxGdlFgUheSJ4wmXLI179Euia6R8oKSmkbN+K4GatbEMfZakiePlzxQB9Pv2ov7lF3l2kXTNArXqkL33cN5TKR3SSR43JqF3DjCuXUWkSBEC1WuJTpHinGK14Vi9Ef8TdbE8NxDjymWikwqU7vg7aM9+g69te9EpkpRw5CRYnNGe+hhGj5aHNP8Nw8Z12OvXpkiZktjatMC0YC6K2YxnyHCyt+7ml6/O41izCV/XHmAyic6VokTowYfJ3nMQ97CRGHZuJ7VKOXnG0FUwzZ8DKhXeHr1Ep0iJTKUi8GQDsve/g3PeIgj4sXVqi73O4+j27ZE3Lq+Q+seLWDu2wdq9E+HiJch+6yCeEaPBaBSdJl2BQM0nyNmwDVWuk5QGT6D9+EPRSQlDd3A/upMf4On3rFxgFU+Sk3EuWYm3zVMkT3oF8+ABEA6LrkooxjUr827Y15A37KVrFylZipxtu/G270zS9MnYWjdFdfmy6KxCp8rOQv/WTnzNW8nziqTCYTDgXJBB4PEamJ/tg2HDWtFFBca4IoOIxYq/YRPRKZKUcOQkWJxRf/cdvPIKqY9XxF63OsaMxfLch98oCklTX8P6TFdUrly8vfuTs25L3qTX5jfxDB6Wt4Jd3pSQ/opej2fg0LynHcrehWXos6RWekSeMfQPVI4cjMuX4m/SnEjxEqJzJAnUavxNW5B9+F2cM+agzsrCnt4ce8M6GLZsRPXLL6ILo5Zh1XJSKj+K/uB+XC+8TM7Otwnfc6/oLOkqhR4uR872PSgmE7Ym9dEd2Cc6KSEkTX2NcLGb8LVuKzpFym86Ha5ps/D0H4Rp2WKsXdqD1yu6KiH8fsO+WUt5w166fkYjrsnTcc6Yg+69E6TUqoL25PuiqwqVYfNGVIEAfvlkpVSYjEYcS1YSrFQZS58e6LdtFl2U71ROB4Ztm/E3bQHJyaJzJCnhyEmwOBNo2BguXsT10gRUXi+Wwf1Ju7cMlr7PoDv+TuKucg+HMQ8fTPKEl/C1aE32nkO4n3+BYLXqkJQkuk6KMeEyZXFs2Ylj1XoidjvWfj1JqVoew+YNEImIzos6xqWLULtdeHr1E50iSf9Nq8Wf3o6sdz4gd+JU1OfPYe3eiSJ330rK45VIHjUc/Vs7r3wxiaKgysxE++EHaL4+U7DtApjmz8bavxeh++4n68AxvL37gVYrOku6RuHb8w4kj5Qsha1dSwwb14lOimu6Y0fRHzuKt09/MBhE50gFQaXC/fwL5I6fiH7XjrynSBw5oqvi3u837OXkspSP/OntyN6xF3R6bOnN4vJ93V8xrl1J6K5/E7rnPtEpUqJJSsKxbA2hhx7B2qML+t07RRflK8PG9ai8Xnzt5FaIkiSCSlFiY1YkM9NFJBITqcL9fnijoqA9+T7GlcswbNqA2pVL6Lbb8bVpj791GyJFbxSdWjh8Pqy9n8awbTOeXv1wjx4Lajn/K+UTRUG/YxvJE8ehPf0Fobvvwf3c83mHKatUUXO4sTB+P6kP30P4rrtxrNsiukZKcP84HkMhtB+dRH/kELrDh9C9dxyVz4ei0RB64EGClasRqFyVyA3/QnP+HJrz36E+fy7vf587h/r8OdRu1+8v52/QGPfQEYTvvKsQ/u0KlnHJQixDn8XfoDHO+Yvl5FccUTlysHZsi+7YUZxLVhKoV79QrptoPx9trZqg/fQUme+fkguwEoBhy0YsvboTvv0OHKs3Eil2k+ikvxTrY9FeryYqj5vsA8dApRKdI8UZ9bnvSKlXAyXZTPbOfShFihTo9USPR83XZ0it9DCuF17OW+wkSQKonA5sLRuj/exTHBmrCQra6ja/x6P9iWqo/AGyD7wjf15J0lX6bTyq1SrS0szX9BpyEiwO/ek3arcbw7bNmFZkoDtxDIDQ3fcQqFKVYOVqBCtWQrHaBNQWLJXTgbVjW/RHD+N6cRzeXn1FJ0nxKhzGsHkDSRPHo/32LMEHHsQ9bBT2Vk24/Ivrn78+ThlWLcfavxc5azcTfLyG6BwpwV31BxmfD90H76E7fBD9kUNoT76P6g9bnypJyYRLlSJcMu+PSMlShEuWRnvqY0xzZ6Fyu/A3a4l7yHAit96Wz/9GheO3cex/oi7ORcvltsHxyOPB3vRJtF+eJmfLTkL3P1jglxR9o68waU++T0rdGrhGjcXbd4DoHKmQ6A4fxNqxLYrNhmPNJsJlyopO+lOxPBblDXupMGg/eA970/qE7rmPnI3bC/QMVNHjMWn8WJJmTCHr49OJs2haikqqnGxszRqi/forHCvXE6xctdAb8nM8aj49RWqNx3CNexVv95758pqSlEjkJJj0p/7pG7Xm6zMYtm/571XuavV/rXIPPloh5lepqn/+CVt6czRffkHujDn4W7QWnSQlglAI49pVJE16Bc33F+Duu/E89utkc6XHUGx20YWFJxIhpVoFFJ2enLcPy9VOknDX/UHG5UL37jHUubm/TnqVRklN/cv/tlVZmSTNmoFp4Tzw+/Glt8MzcCiRm0tee0MhM2xYi6VXd4LVquPIWF2gN34ksVSXLpFSrwb4/eTs2kekxM0Fej3RN/oKk7VDOrrj75B18jMUs0V0jlSItKc+xpbeHEJBHMvXEipXXnTS/4jlsZg0YSxJ0+UNe6ng6bdtwda1Pb7Gzcidt6jAdpYROh4jkbwdPMreiWP1RjENkvT/qDIzsTd9Es35c+Ss3kSoQsVCvX5+jsfkEUMwZSwm85MvUVLT8uU1JSmRyEkw6U9d1Tfqv1jlruh0hB54iPBtt/++uj1csjSRUqXyPmBE+XaCmm/OYGvdDPUvv+BYvJxg9Zqik6RE4/djXLUcy543UY4cQeX15k0233c/wSqP/2ey+Y8Hovp8aC6cz9tm7dw5NOe+Q3P+HKjV+Jq3IlC7Tswc+q3fswtbu1Y4Z78hJ6GlqCDqxoLq0iWSZkzGtGQhKAq+9p3wDBhM5MZiV/dC4TDqiz/8/n1Bff47NOfOoXI68KU/RaB+w3z9+azfthnr050JVqiEY8W6mF8cI/0zzZensdevTaR4cXK27S7QXQJi+cb71fht5a976Ag8g4eJzpEEUH/3LbbWTdH89CPOBUsJ1K4rOum/xOxYjERIfeTevLN65Q17qRCYZk7HPHYUnv6DcD//QoFcQ+R41B0+iL15Q5zzFuFv2kJIgyT9kerSJez/1959R0dV5n8cf89MZjLphSaiBBssiw0FC1I0qKBSFEQjTQW7YAEUbMhSxBAIoIJYQAEpKmURkKLLIiCKIDbWXWAtdBEI6Zl+f39E+cka+szcyeTzOofjYZjc5zOe883c537vfZ6bb8D6yy8UzFmA75ImYRs7aPXoclHtwvp4rs6k6PW3T/14IlWQmmBSoVP6Rf3bXe6O1auwb/gC67afsf2y57C3GLGx+M84s3zJp7PPwd2uI95mzSPmKY+Yr74kpeutYLFQMON9fI0vNTuSVGE1aiSxb+d+7Bs3YF/9CfY1q7B/uR6L14tht+O9tCmB0+tg27G9fG+hvb8c9vOG04n/zLpYCgqw/bqXQI2auG67A1e3nvjPPc+kT3UcPB5SO7XDumsneV98U2kadxLdzL7QZ921k/ixo3HOnAYxMbg73IKReIwTOLcb2/bfGuO7dh62HKNhtRI4vQ4Atp078F5wEaVPPYun9fWn/J3sWLaE5Lu74Wt8Kfnvzodj5ZSoYV+1kpSsTnivakHBzDkh+/1tdj2GS9K9d+FY8TF5GzdVrafB5TCWfftI6XorMZu+pWj8RNy33WF2pEMqay3a16witVM7XbCX8DEMEp94nLhpUyjKfRlX9zuDPoSZ9ZjU9wEcHy7iwKatEBdnSgaRilj37Ca1Q1ss+fkUzJqDr8llYRk3WPUYO38Oyff30hYRIqdATTCpUNBPnFwubDt3HLrj3LZ92293oG8jZusWLKUl+OudhatrD1xZ3U78zvYgsRzMw7FsCUmDBhCoXoOC9+bhP/tcU7KI/O5Ie/TZv/gcx5pV2FevxJqXh//Mun/YTygDf8ZZ5U9e1qhZ/mSHz4djxUc4Z0zH8dFSLD4f3suuoKxbT9ztb46oC9TW3btI7t0T+5frQzZBFDkZkXKhz/rzTySMycbxj+UQCBz1vYbdQeCMM377/VDvD09nZ5QvV2e3g89H7Nz3SMh5Edv2n/E2uYySp57D26LVSeWzr/iIlJ534Gt0PgXvL4jKPUPl6Jwzp5P02MOU9biL4tHjQ3KjU6TUYyjZtm4hrXlTSh/tT+nTg82OIyazFBeRfGdX7GvXUDDjfbyZ15odCai8tagL9mIKn4+Ubl2wr1pJway5Qb+gbVo9FhdT/fzzcHW6leLcl8M/vsgxWHdsJ/WWdlj37KJ4eDauu3qH/Eb8YNVjyq0dsf30A3nrv434VbVEIpWaYFKhsJ44lZYSu/gDnDOn4/h0NYbViqf1dbi69sRzfdvQPv1RXIxj3dryvc3WrCLmu2+wGAbeCy6iYOYcjFq1Qje2yHEKRT1afv0V53uzcM6cRsx/txJISMR9S2dcPe/Gd/ElQR3rRNlXrST5/rvB5aZo/AQ8HW4xNY/IH1XWC33HzevFOesd4nNHYdu9C0/zlpQMeg7fZce/B4199SekdOuC79z6FMxbiJGaFsLAEsniXxhKwrjRFD83lLK+jwX9+FFfj0BSn/uJXbSAAxs2YVSvbnYciQCW4iJS27XBun0b+YuW4/9rI7MjVc5aLCmheqNzdcFeTGEpKiyv4507yuu44V+Ddmyz6jH2vVkk97mf/A+W4r2iWdjHFzkelrwDJD90L44VH+O69XaKRo8P6XLtwahH67afqdb0Qi2LLXKK1ASTCpl14mT98Qecs2fgnD0D2y97CFSvUb5sW9ce+M+rf+p3aZSV/bak3Eocq1cR89WXh/Yv8za5DG/zlnhbtMJ7aVMtvSYRI6T1aBjErPucuJnTiP1gPpbSUsq69qBkyPDwX7gOBIh7eSwJI4fhP68+hVPeKa97kQhSKS/0nQyXi7jpbxE/bgzWfb/ibn0dpU88dcyajPnma1K634a/bgb58z/EqKZNm6u0QICkB3vjnD+XgjenBv2mhmivR+vPP5F+5SWU3fsgJUNfMDuORBDr7l2kts0Em438Jf8wbRWN31XGWtQFezGbddfO8jq22zm4ZEXQbsA1qx5TOnfAtv3n8mXsI2SbC5EKBQLE544iPmck/r/8lcK3podsBahTrkfDIOnB3sT+fR55G74rX8VDRE6KmmBSIdMnMj4fjn9+XL5s2/IlWHw+AgmJ5cu8ZWT8Ycm3/1/WicRE8Pux7tl9aKlF27afD1t60frLHiyGgWG14ru4Md7mrfA0b4n3sitCeveHyKkIVz1aigqJH59L3ITxBKpVp3jkaDztO4Z8XABL/kGS+j5A7LIluDrdStHolyJqeUaR35n+/RhuJSXETXmD+FfGYj14b0Gq0QAAH5RJREFU8Lh+xHfueeT/fQlGzZohDieVgstF6q0diPnmK/LnLcLX9PifKjyWaK/HxP6P4HxvFnnrvzW9ySGRJ+a7b0ht37b8d+6CJZCQYFqWyliLKZ07YNv2M3nrdcFezBPzzVekdrwBX/0G5M//MCh1bEY9WnftJP2SRpQOGETpE0+FdWyRk2Vf8THJD/YGn5+il17Fc1P7oI9xqvXonPw6SU8NoGTQs5T2ezKIyUSqHjXBpEKRNJGx/PorsYsWYPth66GGlm3bNiylJYe9L5CWhqW4GIvXe+g1w2IhcHqdw/ZJ8l1wEd5mV2l/Eqk0wl2PMd99Q+JjfbB/9w3uG9tTnD2GQK3TQjae7btvSenVHevuXRQPfQFXr/t0MUIiViR9P4aTpaiQ2PlzsZSUHP2NMTZcHTurASaHsRw4QOqNrbEWFnBwyQoC9c4KynGjuR6tu3aSftlFuLrfSXF2rtlxJEI5PlpKco8sPNe1ofDtmWCzmZKjstXioaWlBj5Daf+BZseRKs6xbAnJPbPwtryawtffwkhLP6XjmVGPcePHkDjibxz44pugfceLhIN1x3aS7+mJ/auNlD78KCXPPA8xMUE7/qnUY8yGL0jteAOeqzMpnP6u9gITOUVqgkmFIn4iYxhY9u/Htv3n/3/qa+dOjOTkQ0+GBTIy8Nc5E2JjzU4rckpMqUefj7iJL5MweiSGI5aSIcNxdesZ9OZU7Kx3SBrYj0BaOoVvTg3qEwIioRDx348iEcr2439JvaE1gWrVKZi/OCg3V0RzPSY8/QRxb08mb93XBM6sa3YciWC/3yVeet+DlAzPNiVDZavF+BeHEz82h7yN/yJQ5wyz44iUz4kGPEqg9ukUTpmO78KLT/pYYa9HwyCtedPy7/cPloZvXJFgcbtJfG4QcW9PxnPlVRS+/rbpy5Na9u8n7doWEGPn4MefaI9lkSAIRhMseC1ykeNlsWDUqIGvRg18lzY1O41I9ImJoeyRx/G0a09iv0dI6teX2HnvUzR6PIGzz/nz+z0ebDu3Y9322/Kje3Zh8fmPOoTtpx+JXfh3PC1aUThpCkaNGiH6MCIiYjb/2edSMHU2qVmdSL3pOgremx+y/RcqO8vevcS9MxXXbXeoASbH5Op9H7affyT+tYn4652F654HzI4U2fx+nLNn4L2mtRpgEjHcd3THX78Byb17knrTdRS/OKb8BsRKIOarL4nZuoWiB/uaHUXk5MTGUjxqLN4ml5H0xGOkXduC0iefxtPqGgJ1M8Kfx+8n+f5eWA/sJ//Dj9UAE4kgaoKJiEQp/9nnUjBvEc53ppLwt+dIv6YZpQ88DLaY/38Kc/s2rHt2Y/nDQ8GG1XrsZQRi7JQ8NoDSgc+YtnyPiIiEj++KK8mfv4iUrreWN8JmzsHX+FKzY0Wc+EmvgMdD2SOPmx1FKomSISOwbdtG4rODCJyZgafNDWZHiliOlf/AtnsXxcNGmh1F5DC+S5ty8OPVJD/Ym6TH+xCzfh3FI0dDXJzZ0Y7K+d4sDKcTd4ebzY4ickrct92B7/wLSb7vLpL6PwKAv249PC1a4m1e/ieU20T8Lj57BI7VKykaNwHfBReFfDwROX5BXQ7x4MGDPPnkk2zfvh2Hw0FGRgZDhw4lPT2dr7/+msGDB+N2u6lTpw45OTlUq1btuI+t5RCPX2Vb0kIkmkVKPVr37CZxYH9ily4u32+v9umH7bdXvgxpvfL/nlZbjS2JSpFSjyKVme2HraTc3gnr/v0UTJmON/PakzpONNajJe8A1S45H3fbGymaNNnsOFKZlJSQesuNxGzZTP6CJfguahy2oStTLSb36oH9szUc+GYzOBxmxxH5M7+f+JyRJOSOwnv+hRROmX5C+2yFtR7dbqpdWB/P1ZkUvfZWeMYUCTXDwLZlM/Y1n+BY9Qn2tWuwFuQD4KvfAG/zlniat8J79TUYiUlHPdSJ1qNj2RJSetxOWfc7Kc59+ZQ+hogcLuL2BMvPz2fz5s1cfnn5vjDZ2dkUFBQwfPhw2rRpw8iRI2nSpAkTJ05kx44djBx5/HdwqQl2/CrTREYk2kVUPRoG1l/3EkhN0357UiVFVD2KVGLWvb+QktUZ2+Z/UzR+Iu4uWSd8jGisx/gXh5OQO4q8Vevw/6Wh2XGkkrHs3UvaDZng9ZK/dEXYlvurLLVo2bePahf/hbLe91My9AWz44gcleOjpSQ9fB8YUPTKa8f9hGc469GxeCEpd3cjf/ZcvJnXhWVMkbDz+4nZ9C321atwrPkE++efYSktIVCjJkUvjsbTruMR904/kXq0/vQjade1wl/vLPIXLQenM5ifQqTKC0YTzBrMQKmpqYcaYAAXX3wxu3fvZtOmTcTGxtKkSRMAsrKyWLpUm26KiISVxVK+BIAaYCIicgoCtU4jf8GHeC+/kuSH7yNuou52tRQWEPfma7hv6qAGmJwUo1YtCma8j6W0lNSbb8S+do3ZkSKK8/3ZWLzeSrPXklRtnuvacvCjVfgz6pHS43biXxgK/qPvuRxuzndn4q9ZC2/La8yOIhI6Nhu+ixpT1udRCmbPY/+WbeTPW4T/tNqk9O5J8l3dsP6y59TGKCsjpVcPsFoonDxNDTCRCBXUJ8H+KBAI0KtXLzIzM6lVqxZz587l9ddfP/TvF110EZ988gmpqamhGF5ERERERELJ7YYePeD996FfP8jJAWtQ77GrPF54AZ55Br78Ei65xOw0UpmtXVteVz/+CPfdB6NGQUqK2anMZRjQqFH5/4fPPjM7jcjxc7ngkUfgjTegefPy78krrjA7FXz3Xfl31WOPlWcSqWp8PhgzBoYMKb9JePRo6N37iE+FHZFhQK9eMHUqLFoEN94YkrgicupiQnXgYcOGER8fT/fu3fnoo49O+XhaDvH4VZYlLUSqAtWjSORQPYqEwEuvk5icRlxuLq5tOykaP/G49uqJqnosKaHamDF4r72ewjPPg2j5XGKO8y6AFWtJyB5B3GsTCHywkOJRY/G0Dc2FtcpQizHr15H2739TlPsyrgjPKvInI8YQe8ElJA59DuuVV+K+rg2lg57Fd8FFf3prOOrR/vlakntkYVSvQX7WnQRUU1JV9XoI29XXk9jvERz33otn6nSKRo8ncPY5wPHVo3P62yS9/TYl/QdS2rSFzgFFQiTilkP8XXZ2Ntu2bWPcuHFYrVZq167N7t27D/17Xl4eVqtVT4GJiIiIiFRmNhvFL+RQ8vRgnHPfI6X7bVBSYnaqsIqb9hbWvDxKH3/C7CgSLeLjKfnbCPKX/AMjvRopPbNIuvcuLL/+anYyUzhnTseIT8B9cyezo4icFHdWNw588S3Fzw7Bvn4daa1bkNyrB7b//DusORwfLiKlS0cCNWqQv/gjAnUzwjq+SKTxn30uBfMWUTR6PDHffE361VcS98r48ifFKuLxYP3xB+wrV+B8cxKJTw3Ac3UmpQMGhTe4iJywoDfBcnNz2bRpExMmTMDx212g559/Pi6Xiw0bNgAwe/Zs2rZtG+yhRUREREQk3CwWSh8bQNG4CdhXrSSlZxaUlZmdKjxcLuImjMfTohW+ppcf+/0iJ8DX+FIOfvQJJU89R+ySRaQ3b0Ls7Bnlyy9VEZbiIpzz5+K6uRNGYpLZcUROXmIiZY/0I2/Dd5QMGIR95QrSWl1B0oP3YP3xh5AP75w6heRe3fGdfwH5C5cTOLNuyMcUqRSsVlw97+bgmi/wXJ1J4tDnSL2hNUyeTPzoF0l65EFSOt5AeuO/Ur1uTapd0ZjU224m6ekn8Z9Zl8JXJ4PNZvanEJFjCOqeYFu3bqVdu3bUq1cP528bAZ5xxhlMmDCBjRs38vzzz+N2u6lTpw45OTlUr179uI+t5RCPX2VY0kKkqlA9ikQO1aNI6MW+N4ukvg/gvaY1BVNnle+zUIFoqUfnlDdIGtSf/HmL8DZvaXYciWK2rVtIerwP9i8+x3N1JkU54whk1Dvl40Z6LTpnTCPp8T4cXPQRvsvUaJboYck7QPyEl4h7cxJ4PLiyuhE3Yij74tODO5BhED/6RRJyRuK+9noK35gKCQnBHUMkWhgGsR/MJ/GpJ7Du3weA/7TaBOpm4P/9T0a9Q38PnF5HDTCRMAjGcohBbYKFkppgxy/SJzIiVYnqUSRyqB5FwsM5/W2S+j+Cu+2NFE6eDnb7n94TFfXo8ZB+RWMCtU8nf9HyE99MXeREBQI4355MwrDnwWajYN5CfBdefEqHjPRaTL3xWiwF+Rxcs141JlHJsncv8S+NIW7qFCyGQVmPuyh9bACB02qf+sH9fhIH9idu2hRct3elKPflCr+TReR/FBdTw1vEvrg0+O0hDxExT8TuCSYiIiIiIlWTq8ddFI3MIXbphyQ9eM+R91Wo5Jxz3sW2cwel/Z7QxXkJD6sVV697ObhyLUZKCildOmL7/l9mpwoZ25bN2Dd8gavbnaoxiVpGrVqUjBhF3rqv4e67cU57i/TLLiJhyLNY9u8/+QO7XCT37knctCmUPtKPopdeVQNM5HglJkL9+mqAiUQRNcFERERERCSoXL3vp3jICJwfzCep7wPg95sdKbh8PuLGj8F74cV4Mq8zO41UMYGMeuTPXYjhjCP11vbYtmw2O1JIOGdMw4iJwdUly+woIiEXqHMGvPYaeZ9uwN3hFuImvUJ60wuJf3EYloL8EzqWpSCflNtuJvbDhRQPf5GSZ4eokSwiIlWammAiIiIiIhJ0ZQ/1peTpwTjnvkfigEchEDA7UtDELphHzE8/Uvq4ngITcwTqnUXBvIVgsZLSuT22H/9rdqTg8nhwvjcTT5sbMWrUMDuNSNgEzjqbolde4+CqdXiuvZ6E3BzSm1xI/NgcLMUVLF1qGFj3/kLMF+uInfMu8bmjSG3fBvuX6yl8bQpl9z0U/g8hIiISYWLMDiAiIiIiItGp9LEB4HKRkDsKHA6KXxxT+ZtGgQDx40bj+0tDPDfcZHYaqcL855xH/tyFpN5yIymd2pO/YAmBjHpmxwoKx7IlWA8cwNWth9lRREzhr9+AojfepvTR/iSMGkHCyGHEvT4RV9eeWIqLsG7fhm37Nmw7tmNxuQ7/2TPrUjBzDt5W15iUXkREJLKoCSYiIiIiIiFTOvAZLG438RPGYzhiKRn6gtmRTolj8UJiNv+HwkmTwaqFNcRc/r80JP/9D0jtdBOpnTuQv+DD8mXVKjnnzGn4a5+O55przY4iYir/+RdQOG02MRs3kPDicOJfHksgOQV/3Qz85zXA0/p6/Bn1CGRk4K9bD/8ZZ0J8vNmxRUREIoqaYCIiIiIiEjoWCyWDh4LbRfxrE8o3GR+bY3aqk2MYxI/NwXf2Obg7djI7jQhQfpG84N35pNzakZTO7SlYsIRArdPMjnXSrLt24vjnPyh9rD/YbGbHEYkIvkuaUPDe36GsDOLizI4jIiJSqejWRRERERERCS2LhZIRoyjrcTfx48dAt25Y9u83O9UJc3y8DPumb8uXedTFeYkgvsaXUjBrLrZffiGlc3ss+/aZHemkOWfPwBII4MrqbnYUkcijBpiIiMgJUxNMRERERERCz2KhOGcsJU8+DXPmkN68CbHvzwbDMDvZ8TEM4nNH4T+zLu7Ot5mdRuRPfJddTsHM97Ht2E5ql45YDuaZHenEBQI4Z72Dp0UrAvXOMjuNiIiIiEQBNcFERERERCQ8rFZKBwyCr77Cf9Y5JD98H8ldb8W6Y7vZyY7JvvoT7F9uoLTv42C3mx1HpELeZs0pmDoL2w9bSencgZiNG8yOdELsa1Zh274NV9ceZkcRERERkSihJpiIiIiIiIRXo0bkL1pO8YhsHJ+tJb3F5TjfnASBgNnJjih+bA7+02rjyupmdhSRo/JenUnhW+9g27OLtLaZJPfMwrbpO7NjHRfnO28TSE3FfVMHs6OIiIiISJRQE0xERERERMLPZqPs3gfJW/U53suvIOnpJ0ltdz22zf8xO9mfxKz7HMenqyl7+BFwOs2OI3JMnmvbkLf+W0qeeg772k9Jz7yKpHvvwrZls9nRjsix9EOcf5+Hq9udqjMRERERCRo1wURERERExDSBuhkUzJ5H4SuvYfthK2mtmxM/+kXweMyOBoAl7wBJjz1EoEZNyrrfZXYckeNmJCZR+vgT5G34lpJ+T+D4eDlpLS8nqc/9WH/+yex4h7H++ANJfe7He1FjSgY+Y3YcEREREYkiaoKJiIiIiIi5LBbct91B3poNuG9qT8KoF0i/8hJiZ70DPp95udxuku/ujm3HdgomT4eEBPOyiJwkIzWN0kHPkbf+W8oe6EPsB/NJb3Ypif0fhR07zI4HpaWk9OoBVguFk6fpKTARERERCSo1wUREREREJCIYNWpQ9Npb5L87n0C1aiQ/+hBpzZsSO+/98O8XZhgkPd4Hx2efUvTSq/iuuDK844sEmVG9OiVDhpO3/ltcd/bCOfsdOO884sfmgNdrUiiDpIH9sP37XxS9+iaBuhnm5BARERGRqKUmmIiIiIiIRBTvNa3JX7aSgqmzINZJ8gO9SbumGY7FC8EwwpIhPmckzjnvUvLUc7g7dQnLmCLhEKh1GsUjR5P3+VfQoQMJI4eRdl0rYr7eGPYszulv43x3JqX9B+JpfX3YxxcRERGR6KcmmIiIiIiIRB6LBc8NN3Hwn59S+Ppb4PWScnc3Uq+/GvuKj0LaDIt9dyYJo1/EldWN0scGhGwcETMFzqwL771HwdRZWPIOkNo2k4Qhz0JpaVjGj/nqSxKffgLPNa0p7T8wLGOKiIiISNWjJpiIiIiIiEQuqxX3zZ05uGodhS+9ivVgHqlZnUlt3wb7p6uDPpz909Uk9euLp0UrikaPB4sl6GOIRBLPDTdxcPU6XN3uJH7iS6RffSX21Z+EdExL3gGSe/ckUOs0Cl99E2y2kI4nIiIiIlVXUJtg2dnZZGZm0qBBA7Zs2XLo9ZUrV3LLLbfQvn17unfvzo5I2HxXREREREQqj5gY3FndyFv7JUU547Du2E7qLTeR0rkDMevXBWUI29YtJN/VDf9ZZ1M4ZTo4HEE5rkikM1JSKR4znvz5izEsFlI7tyfx8T5YCvKDP5jfT/KD92D9dS+Fk6dhpFcL/hgiIiIiIr8JahOsdevWzJgxgzp16hx6raCggIEDB5Kbm8vChQvp0qULQ4YMCeawIiIiIiJSVTgcuO7sRd66rykeNpKYf/+LtJuuI7lbF2K+++akD2vZt4+UO24Fu52CmXMwUlKDGFqkcvBe1YKDKz+jtM9jOGfPIO2qpjgWfRDU5Ufjx2Tj+Oc/KH4hB9/FlwTtuCIiIiIiFQlqE6xJkybUrl37sNe2bdtG9erVOeusswBo1aoVa9asIS8vL5hDi4iIiIhIVeJ0Unb/wxz44huKnx2Cff060lq3ILlXD2z/+feJHausjJSeWVh//YWCd94lUDcjNJlFKoO4OEoGDyV/2T8J1KxFSq/upHRqR8y6z0/50I5/LCd+TDaurG64etx16llFRERERI7BYhjB31E6MzOTSZMmUb9+fYqKirj22mt54403uPDCC5k+fTrDhw9n3rx5NGrUKNhDi4iIiIhIVVRQAGPHQm4uFBdD164wZAice+7Rfy4QgNtvh7lzYc4c6NQpLHFFKgWvFyZNghEjYO9eaNsWhg2DJk1O/Fg//wyXXAJ168LatRAfH/S4IiIiIiL/KybUAyQlJTF27FhGjhyJ2+2mZcuWJCcnYzvBjW8PHCgmEAh6vy4q1aiRxL59RWbHEBFUjyKRRPUoEjlCU49WeLg/ljvuIn7CS8S9OQlmz8bX6AKwWo74U5bSUmK2bKZ4yAjKWlwH+j0hVchx1WLWXdDhNuKmvEH8K2OxNm2K+4Z2lAx8Bv9fj3Fjq8dDzMYvcaz5hNj3Z2P1Bzj4+lQCJX4oUa2J/JHOVUUih+pRJHL8Xo9Wq4Vq1RJP6hghb4IBNGvWjGbNmgGwf/9+Jk+eTN26dcMxtIiIiIiIVCFGejVKnvsbpfc9RPyrL2Pb8p9j/ozr9m6UPdgnDOlEKqn4eMr6PIrrzruJe/1V4ia+TNrSxbhv7kTpE0/jP/e88vf5/cR89w321atwrPkE+7rPsJSWYlgs+M6/kMKccQTOOtvczyIiIiIiVUpYmmD79u2jRo0aBAIBcnNzycrKIl5LH4iIiIiISIgYtWpRMmS42TFEooqRlExp/4GU9bqXuFdfIf71V4ldMB/3zZ2wlJZhX7sGa2EBAL4Gf8F1R3c8zVvhbXYVRlq6yelFREREpCoKahNs+PDhLF++nP3793P33XeTmprK4sWLGTduHBs3bsTr9XLVVVcxYMCAYA4rIiIiIiIiImFipKVT+vRgyu59kPiXxxL39psETquNu+MteJu3xNOsBUatWmbHFBERERHBYhhGpdhoS3uCHT+tWysSOVSPIpFD9SgSOVSPIpEhaLUYCIDVeurHEanC9N0oEjlUjyKRIxh7guksVUREREREREROnhpgIiIiIhKhdKYqIiIiIiIiIiIiIiIiUUdNMBEREREREREREREREYk6aoKJiIiIiIiIiIiIiIhI1IkxO8DxslotZkeoVPT/SyRyqB5FIofqUSRyqB5FIoNqUSRyqB5FIofqUSRyWK2WU6pJi2EYRhDziIiIiIiIiIiIiIiIiJhOyyGKiIiIiIiIiIiIiIhI1FETTERERERERERERERERKKOmmAiIiIiIiIiIiIiIiISddQEExERERERERERERERkaijJpiIiIiIiIiIiIiIiIhEHTXBREREREREREREREREJOqoCSYiIiIiIiIiIiIiIiJRR00wERERERERERERERERiTpqgomIiIiIiIiIiIiIiEjUiTE7gATPTz/9xKBBg8jPzyc1NZXs7Gzq1atndiyRKuHgwYM8+eSTbN++HYfDQUZGBkOHDiU9PZ0GDRpQv359rNby+w5GjRpFgwYNTE4sEt0yMzNxOBzExsYCMGDAAFq0aMHXX3/N4MGDcbvd1KlTh5ycHKpVq2ZyWpHotXPnTh5++OFDfy8qKqK4uJgvvvjiiHUqIsGRnZ3NsmXL2LVrFwsXLqR+/frA0eeNmlOKhEZF9Xi0OSSgeaRIiBzp+/Fo56aaR4qERkX1eLQ5JBy9Vo/EYhiGEbqPIeHUs2dPOnfuTMeOHVmwYAFz585l2rRpZscSqRLy8/PZvHkzl19+OVD+S7ygoIAXXniBBg0asHHjRhISEkxOKVJ1ZGZmMmnSpEMTGoBAIECbNm0YOXIkTZo0YeLEiezYsYORI0eamFSkahkxYgR+v5/BgwdXWKciEjwbNmygTp06dOvW7bBaO9q8UXNKkdCoqB6PNocENI8UCZEjfT8e6dxU80iR0DlSPf7RH+eQcORaPRothxglDhw4wPfff0+7du0AaNeuHd9//z15eXkmJxOpGlJTUw9NXgAuvvhidu/ebWIiEflfmzZtIjY2liZNmgCQlZXF0qVLTU4lUnV4PB4WLlxI586dzY4iUiU0adKE2rVrH/ba0eaNmlOKhE5F9ag5pIg5KqrHo9E8UiR0jlWPwZpDajnEKLFnzx5q1aqFzWYDwGazUbNmTfbs2XPoUXoRCY9AIMCsWbPIzMw89FqPHj3w+/20bNmSvn374nA4TEwoUjUMGDAAwzC49NJL6devH3v27OH0008/9O/p6ekEAoFDSz6JSGitWLGCWrVq0ahRo0Ov/W+dJicnm5hQJPodbd5oGIbmlCImqWgOCZpHioRbReemmkeKmKeiOSSc+DxST4KJiATZsGHDiI+Pp3v37gCsXLmSefPmMWPGDP773/8yYcIEkxOKRL8ZM2bwwQcfMHfuXAzDYOjQoWZHEqny5s6de9gdfKpTERGRcv87hwTNI0XCTeemIpHnf+eQcHK1qiZYlKhduzZ79+7F7/cD4Pf7+fXXX0/o8V4ROXXZ2dls27aNcePGHdrA+Pc6TExMpEuXLmzcuNHMiCJVwu9153A46Nq1Kxs3bqR27dqHLTGTl5eH1WrV3XsiYbB3717Wr19P+/btD71WUZ2KSGgdbd6oOaWIOSqaQ4LmkSLhdqRzU80jRcxR0RwSTm4eqSZYlKhWrRoNGzZk0aJFACxatIiGDRtq2QqRMMrNzWXTpk1MmDDh0DIVBQUFuFwuAHw+H8uWLaNhw4ZmxhSJeqWlpRQVFQFgGAYffvghDRs25Pzzz8flcrFhwwYAZs+eTdu2bc2MKlJlzJ8/n1atWpGWlgYcuU5FJLSONm/UnFIk/CqaQ4LmkSLhdrRzU80jRczxv3NIOPl5pMUwDCNkSSWsfvjhBwYNGkRhYSHJyclkZ2dz9tlnmx1LpErYunUr7dq1o169ejidTgDOOOMM7rnnHgYPHozFYsHn89G4cWOefvppEhISTE4sEr127NhB37598fv9BAIBzjnnHJ599llq1qzJxo0bef7553G73dSpU4ecnByqV69udmSRqNemTRueeeYZWrZsCRy9TkUkOIYPH87y5cvZv38/aWlppKamsnjx4qPOGzWnFAmNiupx3LhxFc4hJ0yYwFdffaV5pEiIVFSPkyZNOuq5qeaRIqFxpPNV+PMcEk5+HqkmmIiIiIiIiIiIiIiIiEQdLYcoIiIiIiIiIiIiIiIiUUdNMBEREREREREREREREYk6aoKJiIiIiIiIiIiIiIhI1FETTERERERERERERERERKKOmmAiIiIiIiIiIiIiIiISddQEExERERERERERERERkaijJpiIiIiIiIiIiIiIiIhEHTXBREREREREREREREREJOr8HxHq5fpTLcAfAAAAAElFTkSuQmCC\n", "text/plain": ["<Figure size 2160x2160 with 9 Axes>"]}, "metadata": {}, "output_type": "display_data"}], "source": ["visual_sample(dataloader_test, net, device)\n", "plt.savefig(\"fig\")"]}, {"cell_type": "markdown", "metadata": {}, "source": ["### Evaluate on the test dataset"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["predictions = np.empty(shape=(len(dataloader_test.dataset), 168, 8))\n", "\n", "idx_prediction = 0\n", "with torch.no_grad():\n", "    for x, y in tqdm(dataloader_test, total=len(dataloader_test)):\n", "        netout = net(x.to(device)).cpu().numpy()\n", "        predictions[idx_prediction:idx_prediction+x.shape[0]] = netout\n", "        idx_prediction += x.shape[0]"]}, {"cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": ["fig, axes = plt.subplots(8, 1)\n", "fig.set_figwidth(20)\n", "fig.set_figheight(40)\n", "plt.subplots_adjust(bottom=0.05)\n", "\n", "occupancy = (dataloader_test.dataset.dataset._x.numpy()[..., dataloader_test.dataset.dataset.labels[\"Z\"].index(\"occupancy\")].mean(axis=0)>0.5).astype(float)\n", "y_true_full = dataloader_test.dataset.dataset._y[dataloader_test.dataset.indices].numpy()\n", "                                                 \n", "for idx_label, (label, ax) in enumerate(zip(dataloader_test.dataset.dataset.labels['X'], axes)):\n", "    # Select output to plot\n", "    y_true = y_true_full[..., idx_label]\n", "    y_pred = predictions[..., idx_label]\n", "    \n", "    # Rescale\n", "    y_true = dataloader_test.dataset.dataset.rescale(y_true, idx_label)\n", "    y_pred = dataloader_test.dataset.dataset.rescale(y_pred, idx_label)\n", "    \n", "    if label.startswith('Q_'):\n", "        # Convert kJ/h to kW\n", "        y_true /= 3600\n", "        y_pred /= 3600\n", "        \n", "    # Compute delta, mean and std\n", "    delta = np.abs(y_true - y_pred)\n", "    \n", "    mean = delta.mean(axis=0)\n", "    std = delta.std(axis=0)\n", "    \n", "    # Plot\n", "    # Labels for consumption and temperature\n", "    if label.startswith('Q_'):\n", "        y_label_unit = 'kW'\n", "        \n", "\n", "    else:\n", "        y_label_unit = '\u00b0C'\n", "        \n", "    # Occupancy\n", "    occupancy_idxes = np.where(np.diff(occupancy) != 0)[0]\n", "    for idx in range(0, len(occupancy_idxes), 2):\n", "        ax.axvspan(occupancy_idxes[idx], occupancy_idxes[idx+1], facecolor='green', alpha=.15)\n", "    \n", "    # Std\n", "    ax.fill_between(np.arange(mean.shape[0]), (mean - std), (mean + std), alpha=.4, label='std')\n", "    \n", "    # Mean\n", "    ax.plot(mean, label='mean')\n", "    \n", "    # Title and labels\n", "    ax.set_title(label)\n", "    ax.set_xlabel('time', fontsize=16)\n", "    ax.set_ylabel(y_label_unit, fontsize=16)\n", "    \n", "    ax.legend()\n", "    \n", "plt.savefig('error_mean_std')"]}], "metadata": {"kernelspec": {"display_name": "Python 3", "language": "python", "name": "python3"}, "language_info": {"codemirror_mode": {"name": "ipython", "version": 3}, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.5"}}, "nbformat": 4, "nbformat_minor": 4}